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1500 Questions | Certified Application Developer 2026
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1500 Questions | Certified Application Developer 2026

Udemy Instructor
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Self-paced
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Detailed Exam Domain CoverageTo pass the Certified Application Developer (CAD) exam on your first attempt, you need a deep understanding of how AWS services interact in real-world scenarios. This practice test bank is structured to mirror the exact blueprint of the official exam, distributed across the following core domains:Domain 1: Development Methodologies and Practices (26%)Focus areas: Implementing cloud-native development methods, industry best practices, and designing robust testing methodologies using automation frameworks. Domain 2: Data and Machine Learning Services (24%)Focus areas: Selecting, optimizing, and managing data storage solutions, SQL/NoSQL databases, and integrating managed machine learning and AI services into applications.

Domain 3: Integration and Deployment (23%)Focus areas: Utilizing decoupled integration services (queues, topics, state machines) and executing zero-downtime deployment strategies. Domain 4: Security, Identity, and Management (17%)Focus areas: Applying cloud security best practices, mitigating threats, and configuring granular identity and access management (IAM) policies. Domain 5: Miscellaneous (10%)Focus areas: Real-time monitoring, centralized logging, rapid troubleshooting, and leveraging niche AWS utility services.

Course DescriptionSucceeding in the Certified Application Developer certification requires more than just memorizing AWS product definitions. It demands the ability to analyze complex, multi-tiered architectures and select the right service configuration under tight constraints. I designed this comprehensive practice question bank to bridge the gap between theoretical knowledge and exam-day reality.

With 1,500 highly realistic questions, this course provides exhaustive coverage of every single topic on the exam blueprint. Each question features deep-dive explanations for why the correct answer stands out and why the remaining distractors fall short, transforming every mistake into a learning opportunity. Sample Practice Questions PreviewTo understand the depth and quality of the explanations provided in this course, review these three sample questions:Question 1: Integration and DeploymentA multi-tier application processes financial transactions that must be handled sequentially without any duplication.

The backend processing service experiences occasional spikes in traffic, causing unprocessed transactions to drop. Which architecture resolves this bottleneck while maintaining strict ordering? Options:Deploy an Amazon SQS Standard queue to buffer the incoming transactions.

Implement an Amazon SQS FIFO queue with a consistent Message Group ID. Use Amazon SNS to broadcast the transaction payloads to multiple AWS Lambda functions concurrently. Configure an Amazon Kinesis Data Stream with a random partition key for ingestion.

Set up an Amazon S3 bucket with event notifications triggering an EC2 worker pool. Utilize Amazon DynamoDB Streams linked directly to an autoscaling ECS cluster. Correct Answer: Option 2Detailed Explanation:Option 2 is correct: Amazon SQS FIFO (First-In-First-Out) queues guarantee that messages are processed exactly once and in the precise order they are sent.

Using a single Message Group ID ensures that all transactions are processed sequentially within that specific group, preventing out-of-order execution or duplicate processing. Option 1 is incorrect: While an SQS Standard queue handles high traffic spikes efficiently, it only offers at-least-once delivery and best-effort ordering, meaning messages can arrive out of order or be duplicated. Option 3 is incorrect: Amazon SNS is a pub/sub fan-out service.

Broadcasting messages to concurrent Lambda functions causes parallel, asynchronous execution, violating the strict sequential processing requirement. Option 4 is incorrect: Kinesis Data Streams preserve order within a shard, but using a random partition key distributes data across multiple shards uniformly, resulting in a loss of global sequential ordering across the stream. Option 5 is incorrect: Amazon S3 event notifications do not guarantee ordering or transaction throttling out of the box, exposing the system to potential data loss or race conditions during traffic spikes.

Option 6 is incorrect: DynamoDB Streams preserve the order of database modifications, but using them as an initial ingestion bottleneck for high-traffic external transaction processing is an inefficient design pattern compared to a dedicated queue. Question 2: Security, Identity, and ManagementAn application running on an Amazon EC2 instance needs to securely access sensitive credentials stored in AWS Secrets Manager. The credentials must not be hardcoded within the source code or stored on the local EBS volume.

Which approach aligns with the principle of least privilege? Options:Create an IAM user with Secrets Manager permissions and embed the Access Keys in the application configuration file. Assign an IAM role to the EC2 instance profile with a policy allowing secretsmanager:GetSecretValue only for the specific secret ARN.

Grant the EC2 instance full AdministratorAccess to ensure seamless communication with all backend management services. Configure a resource-based policy on the secret that allows public access from the specific public IP address of the EC2 instance. Use AWS Systems Manager Parameter Store to mirror the secret value and fetch it via an unencrypted HTTP API call.

Embed a temporary IAM session token directly into the application's container image layers during the build phase. Correct Answer: Option 2Detailed Explanation:Option 2 is correct: Attaching an IAM role to an EC2 instance profile allows the application to securely fetch temporary security credentials automatically. Restricting the policy action to secretsmanager:GetSecretValue for a specific Amazon Resource Name (ARN) strictly enforces the principle of least privilege.

Option 1 is incorrect: Storing long-lived IAM user access keys in configuration files creates a severe security vulnerability if the file is accidentally committed to source control or exposed locally. Option 3 is incorrect: Granting full administrative access violates the principle of least privilege by giving the instance far more permissions than necessary to perform its specific task. Option 4 is incorrect: Enabling public access on a secret resource-based policy is dangerous, and relying solely on a public IP address introduces risks related to IP spoofing or dynamic IP allocation changes.

Option 5 is incorrect: Mirroring sensitive data into an unencrypted Parameter Store configuration and calling it over plain HTTP exposes secret data to unauthorized internal network interception. Option 6 is incorrect: Embedding temporary tokens into container image layers makes them static over time, rendering them invalid quickly while exposing stale credentials to anyone with access to the container registry. Question 3: Data and Machine Learning ServicesA developer wants to add real-time sentiment analysis capabilities to a customer support chat application.

The application must process incoming text messages, determine emotional intent immediately, and require zero machine learning model training or infrastructure management. Which service fulfills these requirements? Options:Train a custom Amazon SageMaker built-in BlazingText model using historical chat logs.

Deploy an Amazon Lex bot configured with custom intents, slot types, and fulfillment webhooks. Call the Amazon Comprehend DetectSentiment API passing the text payload directly from the application layer. Stream the text data into Amazon Rekognition to evaluate the visual sentiment metrics of the users.

Use Amazon Polly to convert the chat transcripts into realistic human speech for manual review. Utilize Amazon Kendra to index the chat history and provide intelligent search answers to operators. Correct Answer: Option 3Detailed Explanation:Option 3 is correct: Amazon Comprehend is a fully managed Natural Language Processing (NLP) service that uses machine learning to find insights and relationships in text.

The DetectSentiment API evaluates text instantly without requiring any custom model training, deployment, or infrastructure management. Option 1 is incorrect: Amazon SageMaker requires managing data training pipelines, selecting algorithms, hosting endpoints, and managing instances, which violates the requirement for zero model training or infrastructure management. Option 2 is incorrect: Amazon Lex is designed for building conversational interfaces (chatbots) using voice and text, rather than performing standalone sentiment analysis on raw text inputs.

Option 4 is incorrect: Amazon Rekognition analyzes images and videos, not raw textual chat communication payloads. Option 5 is incorrect: Amazon Polly is a text-to-speech service. Converting text to audio does not provide programmatic sentiment insights or emotional classification.

Option 6 is incorrect: Amazon Kendra is an enterprise search service powered by machine learning, used to find relevant information across vast document repositories rather than classifying text sentiment. Welcome to the Mock Exam Practice Tests Academy to help you prepare for your Certified Application Developer 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 appI hope that by now you're convinced!

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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. 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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. 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1500 Questions | AWS Solutions Architect – Associate 2026
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Detailed Exam Domain CoverageDomain 1: Design a Secure Environment (18%) - Designing a secure architecture, Implementing AWS security features,Domain 2: Design a Resilient Architecture (18%) - Designing a resilient architecture, Implementing redundancy and failover,Domain 3: Design Applications on the AWS Platform (24%) - Designing applications for the cloud, Migrating applications to AWS,Domain 4: Design and Deploy for Efficiency (20%) - Designing for low-latency and high-throughput, Implementing cost optimization strategies,Domain 5: Design Operational Excellence (20%) - Designing for monitoring and logging, Implementing automated deployment and rollback,Course DescriptionI have created a comprehensive practice test resource designed to give you the exact experience of the real certification exam, With 1500 meticulously crafted questions, this course goes deep into every single objective tested by AWS, Mastering cloud architecture requires more than just reading documentation, it requires testing your knowledge against scenario-based challenges, This original question bank provides an extensive simulation of the AWS Certified Solutions Architect - Associate exam, I made sure to include complex scenarios that test your ability to design secure environments, build resilient architectures, and implement operational excellence, Every single domain is thoroughly covered so you will not face any surprises on exam day,Here is a preview of the practice questions included in this course,Sample Question 1: A company needs to store data in AWS with the lowest possible cost, The data is rarely accessed, but when it is needed, it must be retrieved within milliseconds, Which storage solution should be used?Options:Option A: Amazon S3 Standard,Option B: Amazon S3 Intelligent-Tiering,Option C: Amazon S3 Standard-Infrequent Access (S3 Standard-IA),Option D: Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA),Option E: Amazon S3 Glacier Flexible Retrieval,Option F: Amazon S3 Glacier Deep Archive,Correct Answer:Option C: Amazon S3 Standard-Infrequent Access (S3 Standard-IA),Explanation:Option A is incorrect because S3 Standard is designed for frequently accessed data and costs more than infrequent access tiers,Option B is incorrect because Intelligent-Tiering carries an automation fee and is better suited for data with unknown access patterns,Option C is correct because S3 Standard-IA provides millisecond access for data that is less frequently accessed, offering a lower storage cost than S3 Standard while meeting the retrieval time requirement,Option D is incorrect because One Zone-IA stores data in a single Availability Zone, which sacrifices durability compared to Standard-IA, and the scenario did not state that lower durability was acceptable,Option E is incorrect because Glacier Flexible Retrieval takes minutes to hours for data retrieval, violating the millisecond requirement,Option F is incorrect because Glacier Deep Archive has a retrieval time of up to 12 hours,Sample Question 2: You are designing a resilient architecture for a web application, The database layer must support automatic failover to a standby instance in a different Availability Zone in the event of a failure, Which database setup meets this requirement?Options:Option A: Amazon RDS Single-AZ deployment,Option B: Amazon EC2 instances running MySQL in a single subnet,Option C: Amazon RDS Multi-AZ deployment,Option D: Amazon DynamoDB with single-region replication,Option E: Amazon Redshift single-node cluster,Option F: Amazon ElastiCache without replication,Correct Answer:Option C: Amazon RDS Multi-AZ deployment,Explanation:Option A is incorrect because a Single-AZ deployment has no standby instance and will experience downtime during an Availability Zone failure,Option B is incorrect because managing databases on EC2 in a single subnet offers no automatic failover or cross-AZ redundancy,Option C is correct because an RDS Multi-AZ deployment provisions and maintains a synchronous standby replica in a different Availability Zone, providing automatic failover capability,Option D is incorrect because while DynamoDB is highly available by default, the question specifically refers to a traditional relational database setup requiring a standby instance,Option E is incorrect because Redshift is a data warehousing service, not a transactional database designed for web application backend failover in this manner,Option F is incorrect because ElastiCache without replication offers no high availability or failover support,Sample Question 3: A solutions architect is designing an application that requires a decoupled architecture, The system needs a fully managed message queuing service to process messages asynchronously, Which service should be used?Options:Option A: Amazon SNS,Option B: Amazon SQS,Option C: Amazon Kinesis Data Streams,Option D: Amazon MQ,Option E: AWS Step Functions,Option F: Amazon EventBridge,Correct Answer:Option B: Amazon SQS,Explanation:Option A is incorrect because SNS is a pub/sub messaging service, not a queueing service,Option B is correct because Amazon SQS is a fully managed message queuing service that allows for the decoupling of application components and asynchronous processing,Option C is incorrect because Kinesis is designed for real-time streaming data, not traditional message queuing and decoupling,Option D is incorrect because Amazon MQ is a managed message broker service for Apache ActiveMQ and RabbitMQ, typically used for migrating legacy applications rather than building native decoupled serverless architectures,Option E is incorrect because Step Functions is a serverless orchestration service, not a message queue,Option F is incorrect because EventBridge is an event bus service used for building event-driven applications, not a queueing service for message retention,Welcome to the Mock Exams Practice Tests Academy to help you prepare for your AWS Certified Solutions Architect - Associate,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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1500 Questions | AWS SA Pro: SAP-C02 Masterclass 2026
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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. I have created this massive practice test bank to give you the exact volume and difficulty of scenario-based questions you need to pass on your first attempt.Instead of just memorizing facts, these 1500 questions force you to evaluate edge cases, compare overlapping AWS services, and optimize architectures for cost, performance, and security. Every single question comes with a comprehensive explanation detailing why the correct answer is the best choice, and specifically why the distractors fail to meet the scenario's requirements.Below is a preview of the types of questions you will find inside the course.Sample Practice QuestionsQuestion 1: Secure Architecture A financial institution is migrating a legacy application to AWS. The application processes highly sensitive PCI-compliant data. 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. Running a Lambda function to do this also adds unnecessary compute costs.Welcome to the Mock Exams Practice Tests Academy to help you prepare for your AWS Certified Solutions Architect – Professional course.You can retake the exams as many times as you want.This is a huge original question bank.You get support from me 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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