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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 #316 / 719

A company needs to migrate their on-premises relational databases to AWS-managed database services while ensuring minimal downtime and continuous data replication during the process. Which AWS service or tool should they use?

A

AWS Glue

B

AWS Server Migration Service

C

AWS DataSync

D

AWS Database Migration Service (AWS DMS)

Question #535 / 719

Which task is the customer's responsibility, according to the AWS shared responsibility model?

A

Configure security group rules for an Amazon EC2 instance.

B

Manage the physical security of AWS data centers.

C

Maintain the underlying hypervisor for AWS services.

D

Ensure the physical integrity of AWS hardware.

AWS Certified Solutions Architect - Associate

Sample Questions

Question #32 / 1019

A company is launching a promotional microsite consisting of static HTML, CSS, JavaScript, and image files. They want a hosting solution that minimizes operational overhead and cost. Which option should they choose?

A

Deploy the site using AWS Elastic Beanstalk with a Docker container.

B

Host the site using Amazon S3 configured for static website hosting.

C

Set up an Auto Scaling group of EC2 instances running NGINX.

D

Use AWS Lambda@Edge to serve content through Amazon CloudFront.

Question #804 / 1019

A company is ingesting large volumes of data into Amazon S3 daily. They need to transform this data and load it into a data warehouse with massively parallel processing (MPP) capabilities. Data analysts must then develop machine learning models using SQL queries on the data warehouse. The solution should use serverless AWS services where possible.

Which design meets these requirements?

A

Schedule daily AWS Glue jobs to process the data into Amazon Redshift. Use Amazon Redshift ML to train models with SQL.

B

Use AWS Step Functions to orchestrate daily Amazon EMR jobs for transformation, loading into Amazon Redshift Serverless. Utilize Amazon SageMaker for ML training via SQL.

C

Run AWS Glue ETL jobs daily to transform data and load into Amazon Redshift Serverless. Create ML models using Redshift ML with SQL commands.

D

Process data with AWS Lambda functions triggered by Amazon S3 events, loading into Amazon Athena. Use Athena ML to train models via SQL.

AWS Certified Solutions Architect - Professional

Sample Questions

Question #355 / 529

A company is migrating its on-premises content management system (CMS) to AWS. The CMS operates within Docker containers hosted on VMs, utilizing shared storage for user-uploaded assets. The CMS must handle unpredictable traffic spikes with low-latency access to assets. The company cannot modify the CMS application and seeks to eliminate Docker environment management.

How should the company migrate the CMS to AWS to meet these requirements?

A

Migrate the containers to Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon S3 to store the shared assets accessed by the containers.

B

Migrate the containers to AWS Fargate for Amazon Elastic Container Service (Amazon ECS). Create an Amazon Elastic File System (Amazon EFS) file system. Define a Fargate task with a volume linking to the EFS file system.

C

Migrate the containers to AWS Fargate for Amazon ECS. Create an Amazon Elastic Block Store (Amazon EBS) volume. Attach the EBS volume to each Fargate task running the CMS.

D

Deploy Docker containers on Amazon EC2 instances. Install Docker and migrate the CMS. Create an Amazon EFS file system and mount it to the EC2 instances for shared asset storage.

Question #5 / 529

A company operates a content delivery platform hosted on-premises, serving various client devices including legacy systems that fail when encountering specific HTTP headers in responses. These legacy devices are identified by their User-Agent headers. The company uses a middleware component to strip these headers from responses directed to such devices. They aim to migrate the platform to AWS using serverless technologies while continuing support for legacy devices. The application backend has been transitioned to AWS Lambda functions.

Which solution fulfills these requirements?

A

Set up an Amazon CloudFront distribution for the content service. Create an Amazon API Gateway REST API. Configure CloudFront to route requests to the API Gateway. Set up the API Gateway to trigger the appropriate Lambda function for each request. Implement a CloudFront function to remove the problematic headers based on the User-Agent header.

B

Deploy an Amazon API Gateway HTTP API for the content service. Configure the API Gateway to invoke the corresponding Lambda functions. Develop a response mapping template in API Gateway to eliminate the problematic headers conditioned on the User-Agent header. Associate this template with the HTTP API.

C

Create an Amazon CloudFront distribution pointing to an Application Load Balancer (ALB). Configure the ALB to route to the Lambda functions. Use a Lambda@Edge function attached to the CloudFront distribution to strip the headers from responses when the User-Agent matches legacy devices.

D

Utilize Amazon API Gateway REST API for the content service, integrating it with the Lambda functions. Adjust the integration responses in API Gateway to remove the problematic headers dynamically by inspecting the User-Agent header from incoming requests.

AWS Certified Developer – Associate

Sample Questions

Question #249 / 557

A developer needs to use Amazon DynamoDB to store user profiles. The company mandates that all user data must be encrypted at rest using a key generated and managed by the company.

What should the developer do to fulfill these requirements?

A

Create the DynamoDB table without encryption. Implement encryption in the application layer, using the company's key to encrypt data before writing to the table and decrypt when reading.

B

Store the encryption key in AWS KMS as a customer-managed key. Create the DynamoDB table, selecting the AWS KMS customer managed key and providing its ARN.

C

Use AWS KMS to store the key. Create the DynamoDB table with default encryption. Include the KMS key ARN in the DynamoDB SDK's Encrypt parameter during data operations.

D

Store the key in AWS KMS using an AWS-managed key. Specify this key's ARN when creating the DynamoDB table.

Question #341 / 557

A developer is deploying a serverless application using AWS CloudFormation. The application requires an API key stored in AWS Systems Manager Parameter Store as a plaintext parameter. The developer needs to securely reference this API key within the CloudFormation template to configure the application during stack creation. Which method should the developer use to retrieve the API key from Parameter Store?

A

Use the SSM dynamic reference.

B

Use the GetAtt intrinsic function.

C

Use the Fn::ImportValue intrinsic function.

D

Use the SecretsManager dynamic reference.