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1500 Questions | AWS Certified Security – Specialty 2026
IT & Software100% OFF

1500 Questions | AWS Certified Security – Specialty 2026

Udemy Instructor
0(6 students)
Self-paced
All Levels

About this course

Detailed Exam Domain CoverageBefore diving into the course details, here is the exact breakdown of the AWS Certified Security – Specialty exam blueprint that this question bank covers:Domain 1: Design Secure Apply Implementation Plans (20%)Implementing access controls using IAM roles, policies, and conditions. Validating access to AWS resources using CloudTrail and AWS CloudWatch. Analyzing security data using AWS Security Hub.

Domain 2: Implement Secure Data Storage (22%)S3 bucket configuration and permissions management. AWS Key Management Service (KMS) and AWS S3 key management. Storage data in Amazon EBS volumes that are encrypted using AWS CloudHSM.

Domain 3: Architect Secure Application and Resource Configurations (23%)Security configurations for AWS Lambda functions. Security considerations for AWS API Gateway REST APIs and HTTP APIs. Validating access to AWS Lambda functions using CloudTrail and AWS CloudWatch.

Domain 4: Identify and Mitigate Security Threats (19%)Identifying, analyzing, and mitigating threats using AWS Security Hub and AWS Inspector. Monitoring and analyzing security-related data using AWS CloudWatch and AWS CloudTrail. Validating AWS CloudWatch and AWS CloudTrail logs for security data.

Domain 5: Respond to Security Incident and Compromised Systems (16%)Analyzing and responding to security incidents using AWS Security Hub and AWS Inspector. Monitoring and analyzing security-related data using AWS CloudWatch and AWS CloudTrail. Validating AWS CloudWatch and AWS CloudTrail logs for security data.

Course DescriptionPassing the AWS Certified Security - Specialty exam requires more than just memorizing AWS documentation. It demands a deep, practical understanding of how to secure complex cloud architectures, analyze granular log data, and mitigate active threats across the AWS ecosystem. I created this practice test course to bridge the gap between theoretical knowledge and exam-day reality.

When I was studying for advanced AWS certifications, I found that taking highly contextual, scenario-based practice exams was the single most effective way to identify knowledge gaps. I designed this extensive bank of 1,500 original practice questions to mirror the difficulty, format, and trickery of the actual exam. Every single question comes with a comprehensive explanation that breaks down exactly why the correct answer is right, and critically, why every other option is incorrect.

This course will thoroughly test your ability to configure resource-based policies, navigate KMS key architectures, secure Lambda environments, and automate incident response via Security Hub and CloudWatch. By practicing with this volume of high-quality questions, you will build the stamina and analytical skills needed to evaluate complex technical scenarios quickly and accurately. Practice Questions PreviewHere is a sample of what you will find inside the course:Question 1: You are tasked with ensuring that all Amazon EBS volumes created by your team are encrypted at rest using a specific AWS KMS Customer Managed Key (CMK).

You need to enforce this with the least amount of operational overhead. Which solution is best? Options:A) Create a custom IAM policy that denies the ec2:CreateVolume action unless the ec2:Encrypted condition is true.

B) Enable EBS Default Encryption at the account level for the required AWS Region and select the specific KMS CMK from the dropdown menu. C) Deploy an AWS Config managed rule to evaluate EBS volumes and trigger an AWS Systems Manager Automation document to encrypt non-compliant volumes. D) Create an AWS Lambda function triggered by AWS CloudTrail events to identify unencrypted volumes and delete them immediately.

E) Modify the default AWS managed key (aws/ebs) policy to enforce strict usage by specific IAM roles. F) Store all data in Amazon S3 instead and use CloudHSM to enforce Server-Side Encryption with Customer-Provided Keys (SSE-C). Correct Answer: BOverall Explanation: The most efficient way to enforce EBS encryption across an entire account and region without managing complex IAM policies or custom automation is to enable Account-Level Default EBS Encryption.

A - Incorrect: While IAM policies can enforce encryption, applying and maintaining this policy across all users and roles requires ongoing operational overhead, making it less efficient than account-level default encryption. B - Correct: Enabling EBS Default Encryption at the account level ensures every newly created volume is automatically encrypted using the specified KMS CMK, requiring zero ongoing maintenance. C - Incorrect: AWS Config is a reactive control.

The volume would still be created in an unencrypted state initially before the remediation triggers, which violates strict compliance requirements. D - Incorrect: Deleting unencrypted volumes via Lambda and CloudTrail is highly disruptive, reactive, and operationally heavy compared to simply preventing their creation via default encryption. E - Incorrect: You cannot modify the key policy of an AWS managed key (aws/ebs).

F - Incorrect: The requirement explicitly asks to secure Amazon EBS volumes, not to change the storage architecture entirely to S3 and CloudHSM. Question 2: An application uses AWS Lambda to process sensitive financial data. You need to ensure that the Lambda function can only access a specific Amazon S3 bucket and that this access is tightly monitored for security audits.

Which combination of actions should you take? Options:A) Embed long-term IAM access keys securely inside the Lambda function's environment variables to authenticate with S3. B) Create an IAM execution role for the Lambda function with an inline policy granting s3:GetObject solely for the target bucket's ARN.

C) Enable AWS CloudTrail data events specifically for the target S3 bucket to monitor object-level API activity. D) Make the S3 bucket public but restrict access using an S3 bucket policy that specifies the Lambda function's IP address. E) Both B and C.

F) Both A and D. Correct Answer: EOverall Explanation: Securing Lambda access to S3 requires a combination of least-privilege IAM execution roles and enabling object-level logging through CloudTrail to satisfy strict audit requirements. A - Incorrect: You should never use long-term IAM access keys with Lambda.

Lambda securely assumes an execution role to obtain temporary credentials. B - Correct (Part of E): Applying an IAM execution role to Lambda with least-privilege access restricted to the specific S3 bucket ARN is the correct way to authorize access securely. C - Correct (Part of E): CloudTrail management events do not log S3 object-level actions (like GetObject) by default.

You must explicitly enable data events for the specific bucket to fulfill the security audit requirement. D - Incorrect: Lambda functions do not have static IP addresses by default unless routed through a NAT Gateway in a VPC. Making a bucket public is a severe security risk.

E - Correct: This option correctly combines the secure IAM execution role (B) with the necessary CloudTrail data event logging (C). F - Incorrect: Both A and D represent poor security practices and violate AWS well-architected framework principles. Question 3: A security team is investigating a potential breach where an unauthorized IAM user was created.

They need to analyze historical API calls to find out exactly who created the user and from which IP address. Which AWS service is primarily used for this task? Options:A) Amazon MacieB) AWS Secrets ManagerC) AWS CloudTrailD) AWS WAF (Web Application Firewall)E) AWS Shield AdvancedF) Amazon InspectorCorrect Answer: COverall Explanation: AWS CloudTrail is the foundational governance and auditing service in AWS, recording all control plane API calls, making it the correct tool for investigating IAM user creation.

A - Incorrect: Amazon Macie is a data security service that uses machine learning to discover and protect sensitive data (like PII) in Amazon S3. It does not audit IAM API calls. B - Incorrect: AWS Secrets Manager is used to securely store, rotate, and retrieve database credentials and API keys.

C - Correct: CloudTrail logs every API call made within an AWS account, including CreateUser actions in IAM, and captures the identity of the caller, the time, and the source IP address. D - Incorrect: AWS WAF protects web applications from common web exploits (like SQL injection or cross-site scripting) at the application layer. It does not track internal AWS control plane changes.

E - Incorrect: AWS Shield Advanced provides managed DDoS protection for applications running on AWS. F - Incorrect: Amazon Inspector is an automated vulnerability management service that scans EC2 instances and container images for software flaws, not API activity logs. Welcome to the Mock Exams Practice Tests Academy to help you prepare for your AWS Certified Security – Specialty exam.

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.

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Detailed Exam Domain CoverageI have structured this 1500-question practice test bank to directly mirror the official AWS Certified Solutions Architect – Professional exam guide. The course covers the following domains and topics:Domain 1: Design a Secure Application on AWS (16%)Implement a secure data storage solution using AWS services.Configure and use encryption and access management features in AWS.Deploy and maintain secure virtual machines and containers on AWS.Domain 2: Design High-Performing Architectures on AWS (18%)Select the appropriate use of compute, storage, database, and application services for an application.Design and implement auto-scaling and load balancing strategies.Configure and optimize databases on AWS for performance and availability.Domain 3: Design Secure Architectures for the Cloud (21%)Design and implement an IAM policy with the appropriate permissions.Configure and deploy a secure hybrid connection between on-premises and AWS.Use AWS security and logging features to ensure compliance and track resource activity.Domain 4: Operate and Manage AWS Workloads (16%)Monitor, troubleshoot, and resolve issues in AWS.Use AWS services to maintain and ensure high availability of applications.Implement a backup and disaster recovery plan using AWS services.Domain 5: Optimize the Operations of AWS Workloads (29%)Identify and optimize resource utilization and costs through AWS services.Use AWS analytics and monitoring services to identify trends and areas for improvement.Optimize the performance and latency of applications on AWS.Course DescriptionPassing the AWS Certified Solutions Architect – Professional exam requires deep, hands-on understanding of complex, multi-tier architectures. 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The architecture mandates that all data in transit between the application tier (EC2 instances) and the database tier (Amazon Aurora) must remain on the private AWS global network and must not traverse the public internet. Additionally, the database credentials must be rotated automatically every 30 days without hardcoding them into the application. How should I architect this solution?Option A: Deploy EC2 and Aurora in the same public subnet. Use AWS KMS to rotate the database credentials and store them in an encrypted S3 bucket.Option B: Deploy EC2 in a private subnet and Aurora in a separate private subnet. Use AWS Secrets Manager to store and automatically rotate the database credentials. Attach an IAM role to the EC2 instances to retrieve the credentials.Option C: Deploy EC2 in a private subnet and Aurora in a public subnet. Use Systems Manager Parameter Store to automatically rotate the credentials and pass them to the EC2 user data script.Option D: Use AWS Direct Connect to link the EC2 instances directly to the Aurora database. Store credentials in AWS IAM and use an AWS Lambda function to rotate them manually.Option E: Deploy EC2 and Aurora in a private subnet. Use AWS Shield Advanced to encrypt the traffic between them and AWS KMS for credential rotation.Option F: Deploy EC2 in a public subnet with a NAT Gateway routing traffic to Aurora in a private subnet. Use AWS Certificate Manager to rotate the Aurora credentials.Correct Answer: Option BOverall Explanation: The scenario requires traffic to remain private, meaning public subnets or internet traversal must be avoided. It also strictly requires automated credential rotation without hardcoding. AWS Secrets Manager natively supports automated rotation for Amazon Aurora, and using IAM roles ensures secure retrieval.Option A Explanation (Incorrect): Deploying the resources in a public subnet violates the requirement to keep traffic off the public internet. KMS does not natively rotate database credentials; it rotates encryption keys.Option B Explanation (Correct): Private subnets ensure traffic stays on the AWS network. Secrets Manager natively handles the 30-day automated rotation for Aurora, and IAM roles prevent hardcoding credentials.Option C Explanation (Incorrect): Placing Aurora in a public subnet violates the network privacy requirement. Parameter Store cannot natively rotate credentials automatically without complex custom Lambda functions.Option D Explanation (Incorrect): Direct Connect is for hybrid (on-premises to AWS) connections, not for connecting AWS resources within a VPC. IAM does not store or rotate database credentials.Option E Explanation (Incorrect): AWS Shield Advanced is for DDoS protection, not for internal traffic encryption or credential management. KMS manages encryption keys, not database credential rotation.Option F Explanation (Incorrect): Deploying EC2 in a public subnet exposes it to the internet. AWS Certificate Manager manages SSL/TLS certificates, not database credentials.Question 2: High-Performing Architectures An e-commerce company experiences unpredictable, massive spikes in traffic during flash sales. Their current architecture uses an Application Load Balancer (ALB) routing traffic to a static fleet of EC2 instances, which query a heavily loaded Amazon RDS for MySQL database. During sales, the database becomes the bottleneck due to excessive read queries for product catalogs. How should I redesign this architecture to maximize performance and handle the read-heavy workload?Option A: Replace the ALB with a Network Load Balancer (NLB) and migrate the RDS database to Amazon DynamoDB using provisioned capacity.Option B: Implement EC2 Auto Scaling behind the ALB. Add an Amazon ElastiCache for Redis cluster to cache the product catalog queries, and create RDS Read Replicas to offload read traffic from the primary database.Option C: Move the EC2 instances to a placement group for lower latency and upgrade the RDS instance to a larger instance type (vertical scaling) during flash sales.Option D: Use Amazon S3 to host the product catalog database and use Amazon Athena to query the data directly from the EC2 instances.Option E: Implement an AWS WAF in front of the ALB to filter out read requests and migrate the MySQL database to Amazon Redshift for faster query processing.Option F: Attach Amazon EBS Provisioned IOPS (io2) volumes to the EC2 instances to cache the database queries locally.Correct Answer: Option BOverall Explanation: To handle unpredictable traffic and a read-heavy database bottleneck, you must scale the compute layer dynamically and implement a caching strategy. ElastiCache and RDS Read Replicas are the AWS best practices for offloading read-heavy workloads from a primary relational database.Option A Explanation (Incorrect): An NLB operates at Layer 4 and is not ideal for HTTP/HTTPS web traffic where ALB features are needed. Migrating a relational schema to DynamoDB requires massive application rewrites and is not the most direct solution for a simple read bottleneck.Option B Explanation (Correct): Auto Scaling handles the unpredictable compute traffic. ElastiCache intercepts repetitive catalog queries, and RDS Read Replicas handle any remaining read traffic, completely removing the bottleneck from the primary RDS node.Option C Explanation (Incorrect): Placement groups improve network latency between instances but do not solve the database read bottleneck. Vertical scaling causes downtime during the instance type change, which is unacceptable during a flash sale.Option D Explanation (Incorrect): S3 and Athena are for data lakes and analytics, not for real-time transactional web application database queries. Latency would be too high.Option E Explanation (Incorrect): WAF is a security tool, it cannot cache or route database queries. Redshift is an OLAP data warehouse, not an OLTP database for e-commerce transactions.Option F Explanation (Incorrect): EBS volumes provide block storage for the instances. They cannot act as a centralized, distributed cache for database queries across a fleet of web servers.Question 3: Optimize Operations and Costs A data analytics firm processes log files using AWS Lambda functions triggered by S3 events. The logs are stored in an S3 Standard bucket. The processing requires data to be immediately available for 30 days. After 30 days, the logs are rarely accessed but must be retained for compliance for 7 years. The retrieval time for older logs can be up to 12 hours. I need to optimize the storage costs without changing the application logic. Which solution is the most cost-effective?Option A: Configure an S3 Lifecycle policy to transition objects to S3 Standard-IA immediately, and then to S3 Glacier Deep Archive after 30 days.Option B: Configure an S3 Lifecycle policy to transition objects to S3 One Zone-IA after 30 days, and delete them after 7 years.Option C: Configure an S3 Lifecycle policy to transition objects directly to S3 Glacier Deep Archive after 30 days, and expire them after 7 years (2555 days).Option D: Use AWS DataSync to move logs older than 30 days to an on-premises storage server for long-term archiving.Option E: Configure an S3 Lifecycle policy to transition objects to S3 Intelligent-Tiering after 30 days, and then to S3 Glacier Flexible Retrieval after 7 years.Option F: Write a Lambda function to compress the logs after 30 days and move them to an Amazon EFS standard storage class.Correct Answer: Option COverall Explanation: The scenario requires immediate access for the first 30 days, rare access thereafter, a 7-year retention period, and tolerates up to 12-hour retrieval times. S3 Glacier Deep Archive is the cheapest storage class and supports retrieval times of up to 12 hours. S3 Lifecycle policies automate this transition.Option A Explanation (Incorrect): Transitioning to Standard-IA immediately incurs a 30-day minimum storage charge for Standard-IA, and objects must remain in Standard for 30 days before transitioning to IA anyway. It adds unnecessary costs.Option B Explanation (Incorrect): S3 One Zone-IA is more expensive than Glacier Deep Archive and does not meet the requirement of keeping the data for 7 years in the most cost-effective tier when 12-hour retrieval is acceptable.Option C Explanation (Correct): Keeping data in S3 Standard for the first 30 days fulfills the immediate access requirement. Transitioning directly to S3 Glacier Deep Archive provides the absolute lowest storage cost for the 7-year retention period, and perfectly aligns with the 12-hour retrieval tolerance.Option D Explanation (Incorrect): Moving data on-premises introduces hardware, maintenance, and data transfer costs, making it significantly less cost-effective and operationally efficient than native S3 tiering.Option E Explanation (Incorrect): Intelligent-Tiering carries a monitoring fee and is designed for unknown access patterns. Since the access pattern is strictly known (never accessed after 30 days unless for compliance), Deep Archive is strictly cheaper.Option F Explanation (Incorrect): Amazon EFS is an expensive file storage system intended for shared access across EC2 instances, not for long-term archival. 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Which built-in tool or feature should be utilized?Option A: Storage Spaces Direct (S2D)Option B: Storage Migration Service (SMS)Option C: Azure File SyncOption D: Windows Server Backup (WSB)Option E: Robocopy script with Task SchedulerOption F: Microsoft System Center Virtual Machine Manager (VMM) Storage OptimizationCorrect Answer: Option BExplanations:Option B is correct: Storage Migration Service is designed specifically to inventory data on legacy servers, transfer data and security configurations to new target servers, and cut over identity details so that network paths remain identical.Option A is incorrect: Storage Spaces Direct is a hyper-converged software-defined storage feature used to pool local drives into highly available storage arrays, not a migration utility.Option C is incorrect: Azure File Sync caches cloud-based file shares locally on a Windows Server but does not orchestrate the local identity cutover phase needed to replace old servers seamlessly.Option D is incorrect: Windows Server Backup can restore data, but it requires manual path reconfigurations, access permission updates, and manual network naming cutovers.Option E is incorrect: Robocopy can replicate files and permissions accurately, but it does not automate the host name, IP address, and identity cutover process safely.Option F is incorrect: System Center VMM manages virtual machine fabrics and storage assignments but lacks the specialized OS-level file share identity migration wizard built into SMS.Welcome to the Mock Exam Practice Tests Academy to help you prepare for your AZ-800: Administering Windows Server Hybrid Core Infrastructure exam.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 appWe hope that by now you're convinced! 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