Practice exams are the single most important preparation tool for AWS certification. This guide provides an honest comparison of the best practice exam providers available in 2026 for CLF-C02 and SAA-C03.
Why Practice Exams Matter
Practice exams test your knowledge under exam-like conditions, reveal weak areas, build time management skills, and reduce exam anxiety. Candidates who take 3+ practice exams pass at significantly higher rates.
How We Evaluated
Question quality and relevance to current exam version
Accuracy and depth of explanations
Number of questions available
Pricing and value for money
User interface and exam simulation quality
Top Practice Exam Providers
ExamCert (examcert.app): Free, high-quality questions with detailed explanations. Great for budget-conscious candidates.
Tutorials Dojo: Well-regarded paid practice exams (AUD $15-25). Strong explanations and scenario-based questions.
AWS Official Practice: Free after passing an AWS exam, or AUD $30-40. Closest to real exam format but fewer questions.
Whizlabs: Affordable paid option (AUD $15-20). Large question bank with decent explanations.
Free Options
ExamCert: Free practice exams for all AWS certifications
After passing any AWS exam: Free official practice exam voucher (see voucher guide)
How to Use Practice Exams Effectively
Simulate real exam conditions (timed, no breaks, no notes)
Review every answer, including correct ones
Track scores to measure progress
Space out practice exams (one every 2-3 days)
Focus study between exams on weak areas
Our Recommendations
Start with free ExamCert practice exams to assess your baseline. Add a paid set from Tutorials Dojo for additional variety. Use our study tips for a complete preparation strategy.
Start Practising Now
Free AWS practice exams with detailed explanations.
Helping Australians pass cloud certification exams with free, high-quality practice questions and study guides.
Try These Sample Questions
Test your knowledge with these exam-style practice questions covering key certification topics:
Question 1
A company needs to migrate a 50 TB Oracle database to AWS with minimal downtime. The database must be converted to PostgreSQL. Which migration strategy provides the least downtime?
A. Use AWS Database Migration Service (DMS) with Schema Conversion Tool (SCT) and change data capture (CDC)
B. Export database to S3, then import to RDS PostgreSQL using pg_restore
C. Create an EC2 instance, install Oracle, replicate data, then convert to PostgreSQL
D. Use AWS Snowball to transfer data, then restore to RDS PostgreSQL
AWS DMS with SCT can perform continuous replication using CDC (change data capture), allowing the source database to remain operational during migration. This provides the minimal downtime compared to offline migration methods.
Question 2
An application runs on EC2 instances across multiple AZs behind an ALB. The company wants to implement a disaster recovery solution in another region with an RTO of 1 hour and RPO of 15 minutes. What is the MOST cost-effective solution?
A. Use AWS Backup to copy snapshots cross-region every 15 minutes, maintain warm standby instances
B. Configure Aurora Global Database with automated failover to the DR region
C. Use CloudEndure Disaster Recovery for continuous replication, launch instances on failover
D. Replicate EBS snapshots hourly, use Lambda to restore instances in DR region
CloudEndure Disaster Recovery provides continuous block-level replication (meeting 15-min RPO) and can launch instances within minutes (meeting 1-hour RTO), while keeping the DR environment in a low-cost staging state until failover.
Question 3
A media company stores video files in S3 with metadata in DynamoDB. Users frequently access recent videos but rarely access videos older than 90 days. The company wants to minimize costs while maintaining performance for recent content. What should the architect recommend?
A. Implement S3 Lifecycle policies to transition objects to S3 Glacier after 90 days
B. Use S3 Intelligent-Tiering storage class for automatic cost optimization
C. Implement S3 Lifecycle policies to transition to S3 Standard-IA after 90 days
D. Archive old videos to S3 Deep Archive and update DynamoDB with new S3 locations
S3 Intelligent-Tiering automatically moves objects between access tiers based on usage patterns without retrieval fees or operational overhead, making it ideal for unpredictable access patterns. Standard-IA and Glacier have retrieval fees that could be costly if access patterns are uncertain.
Question 4
A financial services company must ensure that VPC Flow Logs, CloudTrail logs, and application logs are retained for 7 years for compliance. Logs must be tamper-proof and retrievable for audits. What is the MOST secure and cost-effective solution?
A. Store logs in S3 with S3 Object Lock in Compliance mode, lifecycle to S3 Glacier Deep Archive after 30 days
B. Send all logs to CloudWatch Logs with 7-year retention, export to S3 quarterly
C. Store logs in S3 with versioning enabled, use IAM policies to prevent deletion
D. Use S3 with MFA Delete enabled, transition to S3 Glacier after 90 days
S3 Object Lock in Compliance mode provides WORM (write-once-read-many) protection that prevents any user (including root) from deleting or modifying objects, meeting regulatory requirements. S3 Glacier Deep Archive provides the lowest-cost long-term storage for compliance data.
Question 5
A SaaS application serves customers globally with strict data residency requirements. Each customer's data must remain in their geographic region. The application uses Aurora, ElastiCache, and S3. How should the architect design the solution?
A. Deploy separate VPCs in each required region with Aurora Global Database, use S3 replication
B. Use a single global VPC with Transit Gateway, implement data filtering in application code
C. Deploy complete application stacks per region, use Route 53 geolocation routing, enable S3 Block Public Access per region
D. Use AWS Organizations with Service Control Policies to restrict cross-region data access
Deploying isolated application stacks per region with Route 53 geolocation routing ensures data never leaves the customer's region, meeting data sovereignty requirements. This architectural approach provides the strongest compliance guarantee compared to logical controls that could be misconfigured.
Question 6
An e-commerce platform experiences traffic spikes to 10x normal load during flash sales. The application uses ECS Fargate, Aurora, and ElastiCache. During peak load, database connections are exhausted. What is the BEST solution to handle the traffic spikes?
A. Increase Aurora instance size and enable Aurora Auto Scaling for read replicas
B. Implement RDS Proxy between ECS tasks and Aurora to pool database connections
C. Migrate to DynamoDB with on-demand capacity mode for better scalability
D. Enable Aurora Serverless v2 with automatic scaling configuration
RDS Proxy manages a connection pool and can handle thousands of application connections while maintaining a smaller, stable pool to the database. This solves the connection exhaustion problem without requiring database instance changes or application migration.
Question 7
A company wants to implement a hub-and-spoke network architecture with 30 VPCs across multiple regions. VPCs must communicate with each other and on-premises data centers via Direct Connect. What is the MOST scalable solution?
A. Create VPC peering connections between all VPCs and attach Direct Connect to each VPC
B. Implement AWS Transit Gateway per region, use Transit Gateway peering for cross-region, attach Direct Connect to Transit Gateway
C. Use a single Transit Gateway in one region, peer all VPCs to it, use VPN for cross-region
D. Deploy VPN gateways in each VPC, create a full mesh of VPN tunnels
Transit Gateway provides a hub-and-spoke model that scales to thousands of VPCs, supports inter-region peering, and allows a single Direct Connect attachment point per region. This architecture is far more scalable and manageable than VPC peering mesh or VPN solutions.
Question 8
A machine learning application processes real-time video streams, performs object detection, and stores results in DynamoDB. The application must scale to process 10,000 concurrent streams with sub-second latency. What architecture should be used?
A. Use Kinesis Video Streams, trigger Lambda functions for processing, write to DynamoDB Streams
B. Deploy ECS Fargate tasks with GPU instances, use Kinesis Data Streams for input, enable DynamoDB DAX
C. Use SageMaker batch transform jobs with S3 input/output, periodically sync to DynamoDB
D. Stream video to S3, use S3 Event Notifications to trigger Rekognition, write results to DynamoDB
ECS Fargate with GPU instances provides the compute power for real-time ML inference at scale. Kinesis Data Streams handles high-throughput ingestion, and DynamoDB DAX provides in-memory acceleration for sub-second query latency. This architecture meets all performance requirements.
Question 9
A healthcare application stores patient records in S3, encrypted with SSE-KMS. The company must ensure that no single person can access both the encryption keys and the encrypted data. How should this be implemented?
A. Use separate KMS keys for different data classifications, implement IAM policies with conditions
B. Enable S3 Object Lock and use KMS key policies to separate key administrators from key users
C. Implement KMS key policies that require multiple IAM principals (separation of duties), use S3 bucket policies to restrict data access
D. Use CloudHSM instead of KMS, implement two-person integrity checks
KMS key policies can enforce separation of duties by requiring multiple principals to approve key usage (multi-user authorization). Combined with S3 bucket policies that restrict data access to different roles, this creates a cryptographic separation between data and key access.
Question 10
A company runs a global API with strict latency requirements (<50ms p99) for users worldwide. The API performs read-heavy database queries. What architecture provides the LOWEST latency globally?
A. Deploy API in multiple regions with Route 53 latency-based routing, use Aurora Global Database with read replicas in each region
B. Use CloudFront with Lambda@Edge for API logic, cache responses in CloudFront edge locations
C. Deploy API in single region with CloudFront distribution, enable Aurora Global Database
D. Use API Gateway with edge-optimized endpoints, DynamoDB Global Tables, DAX in each region
API Gateway edge-optimized endpoints route requests to the nearest CloudFront edge location. DynamoDB Global Tables provide multi-region, active-active databases with single-digit millisecond latency. DAX adds in-memory caching for sub-millisecond read latency, consistently meeting the <50ms requirement globally.
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