FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesJobsBlog
Categories
Home/Courses/Microsoft AZ-305: Azure Solutions Architect Practice Exams
Microsoft AZ-305: Azure Solutions Architect Practice Exams
IT & Software100% OFF

Microsoft AZ-305: Azure Solutions Architect Practice Exams

Udemy Instructor
0(2 students)
Self-paced
All Levels

About this course

Preparing for the Microsoft AZ-305: Designing Microsoft Azure Infrastructure Solutions certification exam? Take your preparation to the next level with 360 scenario-based practice questions designed to strengthen your Azure architecture knowledge, sharpen your technical decision-making skills, and build confidence before exam day. This comprehensive practice exam course focuses on designing secure, scalable, reliable, and cost-effective Microsoft Azure solutions.

With 360 practice questions, you will work through realistic architecture scenarios involving Azure Identity and Governance, Data Storage Solutions, Business Continuity, and Infrastructure Design. These practice exams help you evaluate competing architectural approaches, analyze technical and business requirements, and select the most appropriate Azure solutions based on Microsoft best practices. Why Choose These Microsoft AZ-305 Practice Exams?

360 High-Quality Practice QuestionsStrengthen your preparation with a comprehensive collection of questions covering the essential knowledge and skills measured by the Microsoft AZ-305 certification exam. Realistic, Scenario-Based Architecture QuestionsPractice solving complex design challenges involving Azure networking, compute, storage, identity, security, governance, and disaster recovery. Aligned with Microsoft AZ-305 Exam ObjectivesFocus your preparation on the major skills measured in the Designing Microsoft Azure Infrastructure Solutions exam.

Detailed Explanations for Correct and Incorrect AnswersUnderstand why the recommended architecture meets the requirements and why alternative solutions may be less appropriate. Microsoft Learn Documentation-Based LearningReinforce important concepts using official Microsoft documentation and recommended Azure architecture practices. Develop Real-World Azure Architecture SkillsGo beyond memorization by learning how to design solutions that balance performance, availability, security, scalability, and cost.

What Will You Practice? The 360 practice questions cover the four major domains of the Microsoft AZ-305 certification exam. Domain 1: Design Identity, Governance, and Monitoring SolutionsLearn how to design secure and manageable Azure environments that meet organizational identity, security, compliance, and monitoring requirements.

Key topics include:Design authentication and authorization solutions using Microsoft Entra ID. Design hybrid identity and identity synchronization strategies. Implement role-based access control (Azure RBAC).

Design privileged access and identity governance solutions. Design Azure Policy and governance strategies. Plan management groups, subscriptions, and resource organization.

Design monitoring solutions using Azure Monitor and Log Analytics. Design centralized logging, alerting, and diagnostic strategies. Evaluate security, compliance, and operational management requirements.

Practice selecting identity and governance solutions that support enterprise security and operational efficiency. Domain 2: Design Data Storage SolutionsStrengthen your ability to select appropriate Azure storage and database technologies based on application requirements. Key topics include:Design relational data storage solutions using Azure SQL Database and Azure SQL Managed Instance.

Evaluate Azure Cosmos DB for globally distributed and scalable applications. Design Azure Blob Storage and Azure Files solutions. Select appropriate storage redundancy and replication options.

Design data protection, encryption, and access control strategies. Plan data migration and integration solutions. Evaluate database performance, availability, and scalability requirements.

Design backup and recovery strategies for data platforms. Compare storage services based on cost, performance, and operational requirements. Learn how to select the most suitable Azure data services for different business and technical scenarios.

Domain 3: Design Business Continuity SolutionsDevelop the skills needed to design highly available, resilient, and recoverable Azure environments. Key topics include:Design high availability and disaster recovery strategies. Evaluate Recovery Time Objective (RTO) and Recovery Point Objective (RPO) requirements.

Design Azure Backup solutions. Implement disaster recovery strategies using Azure Site Recovery. Evaluate availability zones and Azure region architectures.

Design geo-redundant storage and database replication. Plan business continuity for critical workloads. Design resilient application architectures.

Evaluate backup retention, recovery options, and disaster recovery costs. Practice designing solutions that minimize downtime, protect critical data, and meet business continuity requirements. Domain 4: Design Infrastructure SolutionsLearn how to design scalable, secure, and high-performance Azure infrastructure architectures.

Key topics include:Design Azure Virtual Machines and compute solutions. Evaluate Azure App Service, Azure Functions, and container-based hosting options. Design Azure Kubernetes Service (AKS) architectures.

Plan virtual networking, subnetting, and network connectivity. Design hybrid connectivity using VPN Gateway and ExpressRoute. Evaluate Azure Load Balancer, Application Gateway, and Azure Front Door.

Design network security using Azure Firewall, Network Security Groups, and private endpoints. Plan application migration and modernization strategies. Design scalable infrastructure solutions.

Evaluate performance, cost optimization, and operational requirements. Practice choosing Azure infrastructure services that best satisfy business needs, technical constraints, and architectural best practices. Learn from Every Practice QuestionEvery question includes detailed explanations for the correct and incorrect answer options.

These explanations help you understand the reasoning behind architectural decisions rather than simply memorize answers. You will practice identifying key requirements, evaluating competing solutions, recognizing design constraints, and selecting architectures that align with Microsoft recommendations. For example, you may need to determine:Which Azure networking architecture provides secure connectivity between regions and on-premises environments.

How to design a highly available application across multiple availability zones. Which Azure database service best meets scalability and consistency requirements. How to design an effective disaster recovery solution based on RTO and RPO objectives.

Which identity and governance controls satisfy enterprise security requirements. How to optimize Azure infrastructure costs without compromising reliability. Which Azure compute platform is most appropriate for a specific application workload.

By reviewing the explanations, you can identify knowledge gaps and improve your ability to solve complex architecture scenarios. Develop Practical Azure Solutions Architecture SkillsThe Microsoft AZ-305 exam requires more than knowing individual Azure services. You need to understand how different Azure technologies work together to deliver secure, scalable, resilient, and cost-effective enterprise solutions.

These practice exams will help you:Analyze business and technical requirements. Design identity, governance, and monitoring solutions. Select appropriate data storage and database technologies.

Plan business continuity and disaster recovery strategies. Design networking, compute, and application infrastructure. Evaluate architectural trade-offs involving cost, performance, security, and reliability.

Apply Microsoft Azure Well-Architected Framework principles. Strengthen your ability to interpret scenario-based certification questions. A solid understanding of Azure administration, networking, compute, storage, security, and virtualization is recommended.

How to Get the Most Out of These Practice ExamsComplete the practice questions under realistic exam conditions. Evaluate your current knowledge without consulting external resources. Review every answer explanation.

Understand why the correct solution meets the requirements and why alternative architectures may be unsuitable. Identify your weak areas. Focus on domains where you need additional preparation.

Study official Microsoft Learn documentation. Reinforce your understanding of Azure architecture concepts and recommended design practices. Retake the practice questions.

Track your progress and strengthen your technical decision-making skills. Remember, success in the AZ-305 exam depends on understanding architectural trade-offs and selecting solutions that best satisfy real-world business requirements. Start Your Microsoft AZ-305 Exam Preparation Today!

Designing Microsoft Azure infrastructure solutions requires a strong understanding of cloud architecture, security, governance, data platforms, business continuity, and infrastructure services. With 360 practice questions, detailed answer explanations, and realistic Azure architecture scenarios, this course provides a structured approach to strengthening your knowledge and evaluating your exam readiness. Whether you are preparing for certification or advancing your cloud architecture expertise, these practice exams will help you develop valuable technical skills and greater confidence.

Enroll today and take the next step toward passing your Microsoft AZ-305 certification exam! Happy learning, and best of luck with your Microsoft AZ-305: Designing Microsoft Azure Infrastructure Solutions exam!

Skills you'll gain

IT CertificationsEnglish

Available Coupons

Loading...

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

  • πŸ“ΉVideo lectures
  • πŸ“„Downloadable resources
  • πŸ“±Mobile & desktop access
  • πŸŽ“Certificate of completion
  • ♾️Lifetime access
$0$84.99

Save $84.99 today!

Enroll Now - Free

Redirects to Udemy β€’ Limited free enrollments

Share this course

https://freecourse.io/courses/microsoft-az-305-azure-solutions-architect-practice-exams

You May Also Like

Explore more courses similar to this one

CompTIA SecOT+ (SOT-001): 1500 Certified Exam Questions
IT & Software
0% OFF

CompTIA SecOT+ (SOT-001): 1500 Certified Exam Questions

Udemy Instructor

As industrial infrastructure becomes increasingly interconnected, the boundary between digital cybersecurity and physical operational security continues to disappear. Energy systems, manufacturing facilities, transportation networks, industrial automation platforms, and other critical environments now operate within increasingly complex technological ecosystems where a single security weakness can create consequences far beyond the compromised device or network. Sophisticated adversaries increasingly target industrial assets, exploit exposed communication pathways, manipulate operational processes, and seek access to systems responsible for essential services. Preventing these threats requires more than conventional security monitoring or isolated defensive controls. It requires the ability to understand industrial architectures, engineer secure environments, evaluate operational risks, detect abnormal behavior, investigate sophisticated attacks, and restore infrastructure resilience. Industrial cybersecurity is not simply about protecting networks. It is about protecting the systems that keep essential operations running.Industrial cybersecurity requires a fundamentally different perspective from traditional enterprise IT security. Industrial environments operate under distinct availability, safety, reliability, and performance requirements. Security decisions must account for operational constraints, legacy technologies, specialized communication protocols, engineering dependencies, physical processes, and the potential consequences of disrupting industrial operations. Effective OT security therefore involves much more than identifying vulnerabilities or deploying security tools. It requires understanding industrial architectures, evaluating operational risks, protecting critical assets, detecting abnormal behavior, controlling access, and coordinating security activities with engineering and operational teams.The CompTIA SecOT+ (SOT-001) certification focuses on the cybersecurity knowledge and professional competencies associated with securing operational technology environments and industrial infrastructure. Its subject matter encompasses industrial cybersecurity architecture, cyber-physical systems, operational risk management, industrial threat intelligence, Zero Trust engineering, security monitoring, incident response, and infrastructure recovery. Together, these areas address the technical and operational considerations involved in protecting industrial systems against evolving cybersecurity threats.This practice test course provides an extensive collection of questions covering the technical concepts, security architectures, industrial technologies, risk management practices, defensive strategies, and analytical techniques associated with CompTIA SecOT+ examination preparation. Its structure follows six interconnected areas, progressing from industrial infrastructure fundamentals and operational resilience to threat analysis, secure connectivity, autonomous security operations, and incident response.The course contains 1,500 practice questions divided into six comprehensive sections of 250 questions each, providing extensive opportunities to assess your technical knowledge, examine industrial cybersecurity scenarios, understand security engineering decisions, and strengthen your understanding of OT protection principles.The first section, Industrial Cyber-Physical Systems & Critical Infrastructure Defense, establishes the technical foundation of industrial cybersecurity and examines the architectures, technologies, and operational environments that support critical infrastructure. Questions cover Operational Technology (OT), Information Technology (IT), Industrial Control Systems (ICS), Supervisory Control and Data Acquisition (SCADA), Distributed Control Systems (DCS), Programmable Logic Controllers (PLCs), Remote Terminal Units (RTUs), Human-Machine Interfaces (HMIs), and industrial automation components. You will examine industrial network architectures, Purdue Enterprise Reference Architecture, industrial communication protocols, field devices, sensors, actuators, engineering workstations, historians, and supervisory systems. Additional subjects include Industrial Internet of Things (IIoT), cyber-physical system dependencies, critical infrastructure sectors, industrial asset identification, network topologies, safety instrumented systems, and the relationship between operational processes and cybersecurity controls. Particular attention is given to the differences between IT and OT security priorities, including availability, integrity, safety, reliability, and operational continuity. The section also explores industrial attack surfaces, legacy equipment, system interdependencies, physical process dependencies, and the security implications of connecting industrial environments with enterprise networks and external services.The second section, Operational Risk Engineering, Governance & Infrastructure Resilience, examines how industrial organizations identify, evaluate, prioritize, and manage cybersecurity risks while maintaining safe and reliable operations. Questions address OT risk assessments, industrial asset criticality, threat and vulnerability analysis, risk matrices, likelihood and impact evaluation, business impact analysis, operational consequences, and risk treatment strategies. You will explore risk acceptance, avoidance, mitigation, transfer, risk ownership, risk registers, security policies, governance structures, and organizational responsibilities. The section further examines industrial cybersecurity standards and frameworks, including IEC 62443, NIST Cybersecurity Framework, NIST SP 800-82, and relevant industrial security guidance. Additional subjects include security zones and conduits, defense-in-depth strategies, safety and security coordination, change management, configuration baselines, supplier risk management, third-party access, and industrial lifecycle considerations. Particular attention is given to infrastructure resilience, redundancy, failover mechanisms, backup strategies, disaster recovery planning, business continuity, recovery objectives, and operational dependency management. These concepts demonstrate how risk engineering, governance, and resilience planning contribute to the protection of critical industrial operations.The third section, Industrial Threat Intelligence, Adversary Emulation & Attack Surface Analysis, focuses on understanding industrial threat actors, identifying attack opportunities, and evaluating the techniques used to compromise operational environments. Questions cover industrial threat intelligence, adversary motivations, attack vectors, reconnaissance, initial access, privilege escalation, lateral movement, persistence, command and control, and impact techniques. You will examine the MITRE ATT&CK for ICS knowledge base, industrial attack patterns, adversary tactics, techniques and procedures (TTPs), threat hunting, indicators of compromise (IOCs), and indicators of attack. The section also addresses vulnerability discovery, industrial exposure analysis, attack surface mapping, network enumeration, asset fingerprinting, vulnerability prioritization, and security assessment techniques. Additional coverage includes exploitation of insecure industrial protocols, engineering workstation compromise, remote access abuse, credential attacks, supply chain threats, removable media risks, and threats targeting industrial control devices. Particular attention is given to adversary emulation, penetration testing considerations, threat modeling, attack path analysis, and the operational safety requirements that must be considered when evaluating industrial vulnerabilities. Questions also examine how intelligence sources, vulnerability information, behavioral indicators, and industrial context contribute to more effective threat assessments and defensive prioritization.The fourth section, Zero Trust Engineering, Industrial Network Segmentation & Secure Connectivity, examines the technical controls and architectural principles used to establish secure industrial communication environments. Questions cover Zero Trust Architecture, identity verification, continuous authentication, least privilege, access control, policy enforcement, device identity, and trust evaluation. You will explore industrial network segmentation, security zones, conduits, demilitarized zones (DMZs), microsegmentation, firewall architectures, industrial gateways, secure remote access, and controlled connectivity between IT and OT environments. The section further examines secure communication protocols, encryption, certificate management, public key infrastructure (PKI), authentication mechanisms, privileged access management, and role-based access control. Additional topics include secure configuration, system hardening, vulnerability remediation, patch management, application allowlisting, endpoint protection, host-based security, removable media controls, and industrial device protection. Particular attention is given to hardware and platform security, including Secure Boot, Root of Trust, Trusted Platform Module (TPM), hardware-backed security, code signing, drive encryption, port blockers, tamper protection, physical access controls, and operating system security benchmarks. Questions also address secure engineering workstations, endpoint security baselines, remote maintenance arrangements, vendor access restrictions, and the implementation of security controls without unnecessarily disrupting industrial processes.The fifth section, Autonomous Security Operations, Behavioral Analytics & Threat Detection Engineering, focuses on the monitoring, analysis, and detection capabilities required to identify suspicious activity across industrial environments. Questions cover Security Information and Event Management (SIEM), Security Orchestration, Automation and Response (SOAR), Extended Detection and Response (XDR), endpoint detection, network monitoring, industrial intrusion detection systems, and centralized security operations. You will examine log collection, event correlation, alert prioritization, behavioral analytics, anomaly detection, baseline development, and threat detection engineering. The section also explores industrial protocol inspection, network traffic analysis, asset behavior monitoring, process-aware detection, and the identification of deviations from normal operational patterns. Additional topics include machine learning applications in security monitoring, artificial intelligence-assisted detection, detection rules, threat hunting, security telemetry, alert enrichment, false-positive reduction, and automated response workflows. Particular attention is given to identifying unauthorized communication, unusual command sequences, abnormal engineering activity, unexpected device behavior, suspicious remote access, and potential manipulation of industrial processes. Questions further examine detection coverage, monitoring architectures, security metrics, alert escalation, operational technology visibility, and coordination between Security Operations Center (SOC) teams and industrial engineering personnel. These subjects demonstrate how behavioral analysis, security automation, and industrial context contribute to earlier threat identification and more effective defensive operations.The sixth section, Industrial Incident Response, Digital Forensics & Infrastructure Recovery, examines the processes and technical procedures required to manage cybersecurity incidents affecting operational technology and critical infrastructure. Questions address incident preparation, detection, analysis, containment, eradication, recovery, post-incident activities, and lessons learned. You will explore industrial incident response plans, escalation procedures, incident classification, communication responsibilities, evidence preservation, and coordination between cybersecurity, engineering, safety, management, and external response teams. The section further examines digital forensics, forensic imaging, log preservation, timeline reconstruction, memory analysis, disk analysis, network evidence collection, chain of custody, and forensic integrity. Additional subjects include malware analysis, ransomware incidents, compromised engineering workstations, unauthorized PLC modifications, suspicious firmware changes, industrial network compromise, and the investigation of abnormal operational behavior. Particular attention is given to containment strategies that preserve safety and operational continuity, including isolation decisions, controlled shutdown procedures, segmentation, credential revocation, and recovery prioritization. The section also covers system restoration, backup validation, configuration reconstruction, firmware integrity, recovery testing, disaster recovery coordination, operational validation, and post-incident security improvements. These concepts connect technical investigation with the practical requirements of restoring secure and reliable industrial operations.Each question includes multiple answer choices, the correct answer, and a detailed explanation designed to clarify the underlying cybersecurity concepts and reinforce technical understanding. Explanations address relevant terminology, distinguish between related industrial security technologies, and provide context for understanding why a particular security control, architecture, or response strategy is appropriate.The questions extend beyond basic terminology recognition. They examine industrial cybersecurity scenarios, technical security decisions, infrastructure dependencies, threat analysis, architectural trade-offs, risk evaluation, and the application of defensive controls in operational environments. Different question formats provide opportunities to evaluate knowledge of industrial technologies, security frameworks, communication protocols, access control mechanisms, monitoring capabilities, incident response procedures, and infrastructure protection strategies.Across all 1,500 questions, you will encounter subjects involving industrial control systems, SCADA, PLCs, DCS, critical infrastructure, cyber-physical systems, IEC 62443, NIST security frameworks, operational risk engineering, industrial threat intelligence, MITRE ATT&CK for ICS, attack surface analysis, Zero Trust Architecture, network segmentation, hardware security, Secure Boot, TPM, endpoint protection, SIEM, SOAR, behavioral analytics, threat detection, digital forensics, incident response, and infrastructure recovery.All six sections can be retaken as many times as needed, allowing you to revisit challenging questions, review technical explanations, identify knowledge gaps, and reinforce important concepts. Repeated practice provides opportunities to evaluate your understanding across different dimensions of industrial cybersecurity and determine which technical areas require additional preparation.This course is designed for individuals preparing for the CompTIA SecOT+ (SOT-001)

0.0β€’148β€’Self-paced
FREE$87.99
Enroll
1500 Questions | AWS Certified DevOps Pro 2026
IT & Software
0% OFF

1500 Questions | AWS Certified DevOps Pro 2026

Udemy Instructor

Course DescriptionDetailed Exam Domain Coverage:Design and Implement Systems Operations (35%): Implementing automation of operations and deployment, managing the security and compliance of systems and applications, implementing continuous monitoring and incident response, and managing the configuration and change management of systems and applications.Operate and Maintain Systems Implementation (25%): Implementing continuous integration and continuous deployment pipelines, managing the deployment and configuration of systems and applications, implementing monitoring, logging, and troubleshooting, and managing security and compliance during deployment.Plan a DevOps Implementation (21%): Identifying and prioritizing applications for migration to the AWS Cloud, planning and implementing a DevOps plan, assessing tools for DevOps practices, and planning/implementing change management.Optimize and Continuous Improvement of Operating Systems (19%): Improving DevOps practices for a cloud environment, analyzing and refining monitoring/logging systems, enhancing incident response processes, and iterating on configuration management.Passing the AWS Certified DevOps Engineer – Professional exam requires more than just skimming documentation; it demands a deep, practical understanding of troubleshooting, automation, and architectural decision-making. I built this comprehensive bank of 1,500 practice questions to mirror the exact difficulty, format, and scenario-based nature of the real AWS exam.Instead of basic trivia, these tests drop you into real-world DevOps environments. You will evaluate competing deployment strategies, troubleshoot broken CI/CD pipelines, and automate compliance at scale. Because the actual exam heavily tests your ability to choose the best solution among several working options, I have included highly detailed explanations for every single correct and incorrect answer. This ensures you understand the underlying AWS mechanics, not just the memorized answer, allowing you to walk into the testing center with complete confidence.Practice Questions PreviewQuestion 1: Automating Compliance and Remediation Your organization requires that all EBS volumes are encrypted. You need to implement an automated solution that detects unencrypted EBS volumes when they are created, immediately encrypts them, and alerts the security team. The solution must minimize operational overhead and custom code. Which combination of actions should you take? (Select TWO)Correct Answer: A, E Explanation:Question 2: Blue/Green Deployments with Auto Scaling You manage an application deployed on an Amazon EC2 Auto Scaling group behind an Application Load Balancer (ALB). You need to implement a blue/green deployment strategy using AWS CodeDeploy. The deployment must allow traffic to be shifted immediately to the new instances once they pass health checks, and the old instances must be retained for exactly 2 hours for potential rollback before being terminated. How should you configure this? (Select ONE)Correct Answer: B Explanation:Question 3: Automated Incident Response in CI/CD Your team uses AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. Recently, a bad code commit bypassed unit tests, deployed to production, and caused a widespread outage. You must improve the pipeline to ensure that if a CodeDeploy deployment fails in production, the system automatically creates a high-priority ticket in Jira and notifies the on-call engineer via SMS. Which architecture best achieves this with the least complexity? (Select ONE)Correct Answer: B Explanation:Welcome to the Mock Exams Practice Tests Academy to help you prepare for your AWS Certified DevOps Engineer – Professional.You can retake the exams as many times as you want.This is a huge original question bank.You get support from instructors if you have questions.Each question has a detailed explanation.Mobile-compatible with the Udemy app.I hope that by now you're convinced! And there are a lot more questions inside the course.

0.0β€’62β€’Self-paced
FREE$87.99
Enroll
1500 Questions | AWS Certified Developer – Associate 2026
IT & Software
0% OFF

1500 Questions | AWS Certified Developer – Associate 2026

Udemy Instructor

Detailed Exam Domain CoverageApplication Development (46%)Develop scalable, secure, and high-quality cloud-based applications using AWS services.Choose the appropriate AWS services to enable serverless architecture.Design and implement event-driven computing using AWS Lambda and Apache ActiveMQ.Integration and Security (28%)Integrate AWS services using SDKs, AWS CLI, and AWS Management Console.Implement proper security controls, including authentication and authorization.Implement secure encryption, access control, and authentication mechanisms.Deployment and Operation (26%)Deploy cloud-based applications using AWS services, such as AWS CodePipeline and AWS CodeCommit.Design and implement logging and monitoring for AWS cloud-based applications.Implement automated deployment and rollback using AWS CodeDeploy.Course DescriptionPassing the AWS Certified Developer – Associate certification requires more than just reading documentation; it requires hands-on familiarity with how AWS services interact and how to troubleshoot them in real-world scenarios. I designed this massive, 1500-question practice test bank to provide an exact simulation of the exam environment, giving you the exposure needed to pass on your first attempt.Through these carefully crafted questions, you will encounter the same tricky wording, scenario-based architecture problems, and service-limit troubleshooting found on the actual exam. Every single question comes with a highly detailed explanation, breaking down exactly why the correct answer works and, equally important, why the incorrect options are fundamentally flawed.I have structured these tests to heavily reflect the official exam weighting. You will spend significant time evaluating serverless application architectures, securing APIs, and automating deployment pipelines. By practicing with this extensive question bank, you will naturally build the pattern recognition needed to spot the right architectural choices quickly, saving you valuable time during the actual test.Practice Questions PreviewQuestion 1: Application Development A developer is building a serverless real-time voting application. Every time a new vote is inserted into an Amazon DynamoDB table, an AWS Lambda function must immediately process the record to update a live leaderboard. Which combination of services and features provides the most efficient and scalable solution?A) Configure an Amazon SQS queue to poll the DynamoDB table every minute and trigger the Lambda function.B) Enable DynamoDB Streams and configure the stream as an event source mapping for the AWS Lambda function.C) Create an Amazon EventBridge rule that listens for DynamoDB API calls via CloudTrail to trigger Lambda.D) Modify the application code to write to an Amazon Kinesis Data Stream simultaneously with the DynamoDB write.E) Set up an Amazon SNS topic and configure the DynamoDB table to publish an event to the topic on every write.F) Use Amazon CloudWatch Alarms to monitor the DynamoDB WriteCapacityUnits and trigger Lambda on spikes.Correct Answer: B Overall Explanation: DynamoDB Streams captures a time-ordered sequence of item-level modifications in a DynamoDB table. When paired with AWS Lambda as an event source mapping, Lambda automatically polls the stream and executes the function synchronously whenever new records (votes) are detected, making it the perfect serverless, event-driven pattern for this scenario.Option Explanations:A) Incorrect. SQS cannot natively poll DynamoDB. Writing a custom polling mechanism adds unnecessary compute overhead and delay, violating the "real-time" and efficient requirements.B) Correct. DynamoDB Streams directly integrates with Lambda to provide near real-time processing of database changes without manual polling.C) Incorrect. CloudTrail API logging is not designed for data-level (item-level) real-time streaming. It logs control plane actions and has a delay of up to 15 minutes.D) Incorrect. While Kinesis can trigger Lambda, modifying the application code to perform dual writes (to DynamoDB and Kinesis) introduces unnecessary complexity and potential data inconsistency.E) Incorrect. DynamoDB cannot natively publish item-level changes directly to an SNS topic.F) Incorrect. CloudWatch Alarms monitoring WCU metrics only tells you the table is under load; it does not pass the actual vote data required to update the leaderboard.Question 2: Integration and Security An application stores sensitive financial documents in an Amazon S3 bucket. Compliance regulations mandate that all data must be encrypted at rest. Furthermore, the security team must maintain a full audit trail showing exactly when and by whom the encryption keys were used. Which encryption method should the developer implement?A) Server-Side Encryption with Amazon S3 Managed Keys (SSE-S3).B) Client-Side Encryption using a locally generated master key.C) Server-Side Encryption with Customer-Provided Keys (SSE-C).D) Server-Side Encryption with AWS KMS Managed Keys (SSE-KMS).E) Store the S3 objects natively but encrypt the S3 bucket using AWS Secrets Manager.F) Implement AWS Certificate Manager (ACM) to encrypt the objects before upload.Correct Answer: D Overall Explanation: The core requirement here is the need for an audit trail of key usage. AWS Key Management Service (KMS) seamlessly integrates with AWS CloudTrail to log all key usage events, showing who used the key, which key was used, and when. SSE-KMS provides both the required encryption at rest and the strict auditing capabilities demanded by the security team.Option Explanations:A) Incorrect. SSE-S3 encrypts data at rest, but AWS manages the keys entirely. It does not provide an audit trail of key usage in CloudTrail.B) Incorrect. With Client-Side Encryption using local keys, AWS has no visibility into the keys, making it impossible to provide an automated, centralized audit trail via AWS services.C) Incorrect. With SSE-C, the customer provides the key for every upload/download. S3 uses it for encryption/decryption and then discards it. AWS does not log the usage of customer-provided keys.D) Correct. SSE-KMS leverages AWS KMS, which logs all encryption and decryption API calls directly to AWS CloudTrail, satisfying the compliance requirement.E) Incorrect. AWS Secrets Manager is used to rotate, manage, and retrieve database credentials and API keys, not to encrypt entire S3 buckets or objects.F) Incorrect. AWS Certificate Manager (ACM) provisions and manages SSL/TLS certificates for data in transit, not data at rest in S3.Question 3: Deployment and Operation A developer is using AWS CodeDeploy to update a critical application hosted on an Amazon EC2 Auto Scaling group. The developer wants to ensure that if the newly deployed version introduces high error rates, the deployment automatically stops and reverts to the previous working version. How can this be achieved with minimal operational overhead?A) Configure a pre-traffic AWS Lambda hook to test the application and manually trigger a rollback script if it fails.B) Create an AWS Systems Manager Automation document that monitors the instances and terminates them if errors occur.C) Configure Amazon CloudWatch Alarms for the application errors and configure CodeDeploy to automatically roll back when the alarm is breached.D) Use AWS CodeCommit to detect faulty code pushes and automatically revert the commit in the repository.E) Set up an AWS CodeBuild stage to run load tests and stop the CodePipeline if the error rate exceeds a specific threshold.F) Manually monitor the CloudWatch Logs during the deployment and click "Stop and Rollback" in the AWS Management Console if needed.Correct Answer: C Overall Explanation: AWS CodeDeploy supports automated rollbacks. You can configure deployments to roll back automatically when a deployment fails or when a specified Amazon CloudWatch alarm is activated. By setting an alarm on application error metrics, CodeDeploy will handle the rollback natively and automatically if the new deployment causes issues.Option Explanations:A) Incorrect. While Lambda lifecycle hooks can be used for validation, relying on a custom, manual rollback script inside a Lambda function adds high operational overhead and is error-prone compared to native features.B) Incorrect. Terminating instances via Systems Manager does not properly instruct CodeDeploy to halt the deployment process and safely restore the last known good revision across the fleet.C) Correct. CodeDeploy integrates directly with CloudWatch Alarms to automatically halt and roll back deployments when error thresholds are breached, requiring no custom scripting.D) Incorrect. Reverting a commit in CodeCommit only changes the source code. It does not actively stop an ongoing deployment on EC2 instances or restore the previous binaries.E) Incorrect. CodeBuild runs before the application is deployed to the EC2 instances. It cannot monitor the live deployment error rates of the newly running application.F) Incorrect. The scenario specifically asks for the deployment to automatically stop and revert. Manual monitoring requires human intervention and increases the time to resolution.Welcome to the Mock Exams Practice Tests Academy to help you prepare for your AWS Certified Developer – Associate.You can retake the exams as many times as you wantThis is a huge original question bankYou get support from instructors if you have questionsEach question has a detailed explanationMobile-compatible with the Udemy appI hope that by now you're convinced! And there are a lot more questions inside the course.

0.0β€’205β€’Self-paced
FREE$82.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Jobs
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

Β© 2026 FreeCourse. All rights reserved.