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Explore AWS Certificates

Unlock your cloud potential with AWS certifications. Click on a certificate to explore detailed exam resources and preparation tools designed for your success.

AWS Certified Cloud Practitioner

The AWS Certified Cloud Practitioner (CLF-C02) certification provides a foundational understanding of AWS Cloud concepts, services, and billing models. It is designed for individuals new to cloud computing, offering essential knowledge for various AWS roles and cloud-based projects.

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AWS Certified Solutions Architect - Associate

The AWS Certified Solutions Architect – Associate (SAA-C03) certification validates your ability to design secure, cost-effective, and scalable solutions using AWS services. It covers architectural best practices, cloud deployment, and AWS core services, making it ideal for individuals pursuing cloud architecture roles.

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AWS Certified Solutions Architect - Professional

The AWS Certified Solutions Architect – Professional (SAP-C02) certification demonstrates advanced expertise in designing complex, scalable, and secure solutions on AWS. It covers in-depth architectural strategies, cost optimization, and best practices for large-scale cloud deployments, ideal for experienced cloud architects.

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AWS Certified Developer – Associate

The AWS Certified Developer – Associate (DVA-C02) certification validates expertise in developing, testing, and deploying AWS-based applications. It is designed for developers with hands-on experience in AWS, focusing on essential services, application lifecycle management, and best practices for building secure, scalable, and cloud-native applications. This certification is ideal for individuals seeking to deepen their understanding of AWS development tools and services to support innovative cloud solutions.

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AWS Certified Cloud Practitioner

Sample Questions

Question #490 / 719

A startup is launching a high-traffic e-commerce platform on AWS and needs to mitigate volumetric Distributed Denial of Service (DDoS) attacks directed at their network infrastructure. Which AWS service provides automatic protection against such network layer attacks?

A

AWS WAF

B

Amazon GuardDuty

C

AWS Firewall Manager

D

AWS Shield

Question #223 / 719

A web application hosted on AWS is under significant DDoS attacks, causing severe downtime. Which AWS service is specifically designed to mitigate such attacks while maintaining availability?

A

AWS Config

B

AWS Direct Connect

C

AWS Shield

D

Amazon Inspector

AWS Certified Solutions Architect - Associate

Sample Questions

Question #172 / 1019

A solutions architect is designing an Amazon CloudFront distribution for a compliance-sensitive application. The application already uses HTTPS, but regulatory requirements mandate that specific user data fields must remain encrypted at all stages of processing. Additionally, decryption should only be possible by authorized backend services. Which configuration should the solutions architect implement to meet these requirements?

A

Use CloudFront signed URLs to restrict access to sensitive data.

B

Implement CloudFront signed cookies to authenticate users.

C

Enable CloudFront field-level encryption for the specified data fields.

D

Set the Origin Protocol Policy to HTTPS Only and enforce strict TLS versions.

Question #387 / 1019

A deployment engineer is responsible for managing AWS Elastic Beanstalk environments. A solutions architect needs to ensure the engineer follows the principle of least privilege. Which combination of actions should the solutions architect take? (Choose two.)

A

Have the deployment engineer use AWS account root user credentials for Elastic Beanstalk operations.

B

Create a new IAM user for the engineer and add the user to a group with the PowerUsers IAM policy attached.

C

Create a new IAM user for the engineer and add the user to a group with the AdministratorAccess IAM policy attached.

D

Create a new IAM user for the engineer and add the user to a group with an IAM policy that allows Elastic Beanstalk actions only.

E

Create an IAM role defining explicit permissions for Elastic Beanstalk and require the engineer to assume the role for deployments.

AWS Certified Solutions Architect - Professional

Sample Questions

Question #468 / 529

A company stores application logs from multiple AWS regions in a centralized Amazon S3 bucket. The logs are in CSV format and compressed with gzip. The company uses Amazon Athena to query these logs for auditing purposes. Over time, query performance has degraded due to increasing data volume, and storage costs are rising. A solutions architect must optimize query performance and reduce storage costs without compromising data retention requirements.

Which solution will meet these requirements with the MOST significant improvement?

A

Create an AWS Lambda function to convert CSV files to Apache ORC format using Snappy compression. Configure the Lambda function to trigger automatically for new S3 uploads.

B

Enable S3 Transfer Acceleration for the bucket and apply an S3 Lifecycle policy to transition logs to S3 Glacier Deep Archive after 30 days.

C

Update the logging pipeline to store logs in Apache Parquet format partitioned by date. Configure daily partitioning for new log files.

D

Migrate to the latest Athena engine version and increase the Athena workgroup's query concurrency limit.

Question #95 / 529

A company is migrating its on-premises payment-processing system to the AWS Cloud. The system includes a web frontend hosted on virtual machines, ActiveMQ for messaging between the frontend and backend, and a Kubernetes cluster running a containerized backend to handle payment transactions. The company wants to minimize application changes and reduce operational overhead.

Which solution meets these requirements with the LEAST operational overhead?

A

Create an AMI of the web server VM. Deploy it using an Amazon EC2 Auto Scaling group and an Application Load Balancer. Replace ActiveMQ with Amazon MQ. Migrate the Kubernetes backend to Amazon Elastic Kubernetes Service (Amazon EKS).

B

Replatform the web frontend using AWS Lambda with a custom runtime and Amazon API Gateway. Replace ActiveMQ with Amazon MQ. Migrate the Kubernetes backend to Amazon EKS.

C

Create an AMI of the web server VM. Deploy it using an Amazon EC2 Auto Scaling group and an Application Load Balancer. Replace ActiveMQ with Amazon MQ. Install Kubernetes on EC2 instances for the backend.

D

Create an AMI of the web server VM. Deploy it using an Amazon EC2 Auto Scaling group and an Application Load Balancer. Replace ActiveMQ with Amazon Simple Queue Service (SQS). Migrate the Kubernetes backend to Amazon EKS.

AWS Certified Developer – Associate

Sample Questions

Question #494 / 557

A developer is designing a system where messages sent to an Amazon SQS queue must be processed by an AWS Lambda function after a specific delay. The solution should be operationally efficient and minimize custom code.

Which approach meets these requirements?

A

Use an AWS Step Functions state machine with a Wait state to introduce the delay. Configure an Amazon EventBridge rule to trigger the state machine each time a message arrives in the queue.

B

Configure the Lambda function to poll the queue and, upon receiving a message, store it in an Amazon DynamoDB table with a Time to Live (TTL) attribute set to the delay duration. Use DynamoDB Streams to trigger the Lambda function when the TTL expires.

C

Set the DelaySeconds parameter on the SQS queue to the required delay. Create an event source mapping between the SQS queue and the Lambda function.

D

Set the Visibility Timeout of the SQS queue to the desired delay period. Configure the Lambda function with an event source mapping to the queue, and have the Lambda function delete the message only after the delay has passed.

Question #57 / 557

A company needs to integrate static application security testing (SAST) into its CI/CD pipeline to analyze container images before deployment. The application uses Amazon Elastic Container Registry (ECR) for image storage, Amazon Elastic Kubernetes Service (EKS) for compute, and AWS CodePipeline for orchestration. SAST currently runs in a post-deployment stage in a development EKS namespace, but the team wants to shift this analysis earlier in the pipeline.

Which solution meets these requirements with the MOST operational efficiency?

A

Use a third-party SAST tool integrated into the developer's local environment. Require developers to scan images before committing code. Implement Git pre-commit hooks to enforce scanning and block commits with vulnerabilities.

B

Add a new CodePipeline stage after the container image is built and pushed to ECR. Enable ECR enhanced scanning with AWS Lambda to parse results. Configure the Lambda function to validate scan findings and halt the pipeline if vulnerabilities exist.

C

Create a new pipeline stage after the source code is fetched. Run SAST directly on the source code repository contents. Fail the pipeline if vulnerabilities are detected in the source code analysis.

D

Modify the build stage in CodePipeline to include a custom SAST action using AWS Fargate. Configure Fargate to run the SAST tool on the built image and fail the pipeline if findings are present.