[100% OFF] 1500 Questions | AWS SA Pro: SAP-C02 Masterclass 2026

Detailed Exam Domain Coverage

I 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 Description

Passing 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 Questions

Question 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 B

• Overall 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 B

• Overall 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 C

• Overall 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.