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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 #37 / 719

A company is preparing for a regulatory audit and needs to provide AWS compliance documentation. What is the most efficient method to access these documents?

A

Submit a request to the AWS Security team.

B

Retrieve the documents from AWS Artifact.

C

Use AWS Config to generate compliance reports.

D

Export the reports via AWS Security Hub.

Question #433 / 719

A company needs to categorize its users into logical units to efficiently apply access policies across multiple accounts. Which AWS service or feature should be used to achieve this?

A

Security groups

B

AWS Identity and Access Management (IAM)

C

Resource groups

D

AWS Security Hub

AWS Certified Solutions Architect - Associate

Sample Questions

Question #294 / 1019

An application hosted on Amazon EC2 instances must access an Amazon DynamoDB table. All traffic must remain within the AWS network without traversing the internet.

How should a solutions architect configure access to meet these requirements?

A

Create a private hosted zone using Amazon Route 53.

B

Set up a gateway VPC endpoint for DynamoDB in the VPC.

C

Configure the EC2 instances to use a NAT gateway to access DynamoDB.

D

Establish an AWS Direct Connect connection between the VPC and DynamoDB.

Question #16 / 1019

A company is building a reporting system using their data lake on AWS, which includes data stored in Amazon S3 and Amazon Aurora PostgreSQL. They need a data visualization solution that integrates all data sources. The security team requires that only the executive team can view all dashboards, while other employees should have access only to specific dashboards based on their department. Which solution meets these requirements?

A

Create an analysis in Amazon QuickSight. Connect all data sources and create datasets. Publish dashboards and share them with the appropriate IAM roles tied to departments and the executive team.

B

Create an analysis in Amazon QuickSight. Connect all data sources and create datasets. Publish dashboards and share them with the appropriate users and groups mapped to departments and the executive team.

C

Use AWS Glue crawlers to catalog the data in Amazon S3. Create an AWS Glue ETL job to generate reports. Store the reports in Amazon S3 and use bucket policies to restrict access based on departments and executive roles.

D

Use AWS Glue crawlers for Amazon S3 data and Amazon Athena Federated Query for Aurora PostgreSQL. Generate reports using Athena, store them in Amazon S3, and control access with bucket policies for departments and executives.

AWS Certified Solutions Architect - Professional

Sample Questions

Question #99 / 529

A company uses a transit gateway in their main AWS account to connect VPCs across multiple AWS accounts. Their on-premises network is connected via an AWS Site-to-Site VPN through the transit gateway. The company wants to implement a scalable AWS Client VPN solution for remote employees. What is the MOST cost-effective solution?

B

Create a Client VPN endpoint in the main account and configure routing through VPC peering connections.

A

Create a Client VPN endpoint in each AWS account and configure routing to allow access.

C

Create a Client VPN endpoint in the main account, attach it to the existing transit gateway, and configure routing.

D

Establish connectivity between a Client VPN endpoint in the main account and the AWS Site-to-Site VPN.

Question #94 / 529

A company has migrated its invoice-processing application to AWS. Users upload scanned invoices through a web application, which stores metadata in an Amazon RDS for PostgreSQL database and files in Amazon S3. The web application runs on Amazon EC2 instances. When invoices are uploaded, notifications are sent via Amazon SNS, requiring manual validation and data entry into another system via an API. A solutions architect must automate this process with accurate extraction, minimal time to market, and low operational overhead. Which solution meets these requirements?

A

Develop custom OCR libraries and deploy them on an Amazon EKS cluster. Process invoices upon upload, store output in S3, parse into DynamoDB, and submit via API using EC2-hosted tiers.

B

Use AWS Step Functions and Lambda with EC2-hosted AI/ML models for OCR. Store output in S3, parse within the tier, and submit data via API.

C

Host EC2 instances to call SageMaker-hosted AI/ML models for OCR. Store output in Amazon ElastiCache, parse within the tier, and submit via API.

D

Implement AWS Step Functions and Lambda with Amazon Textract and Comprehend for OCR. Store output in S3, parse within the tier, and submit data via API.

AWS Certified Developer – Associate

Sample Questions

Question #304 / 557

A company is deploying a serverless application on AWS using Amazon API Gateway and AWS Lambda. They need to manage deployments across development, testing, and production environments, ensuring each environment uses specific configurations without modifying the application code. Which solution requires the LEAST development effort?

A

Utilize API Gateway stage variables and configure Lambda function aliases to point to environment-specific resources.

B

Deploy the application using AWS Fargate with separate task definitions for each environment.

C

Maintain separate API Gateway APIs and Lambda functions for each environment, deploying them individually.

D

Use AWS CloudFormation templates to provision distinct stacks for each environment.

Question #1 / 557

A company is deploying a serverless application using AWS Lambda. The application requires access to a legacy database that uses a password for authentication. The password must be encrypted at rest and in transit, and must be accessible to Lambda functions in multiple AWS accounts. A developer needs to implement a secure storage solution with the LEAST operational overhead.

Which solution meets these requirements?

A

Store the password as an AWS Systems Manager Parameter Store SecureString parameter encrypted with an AWS KMS AWS-managed key. Create an IAM policy allowing cross-account access to the parameter. Configure Lambda execution roles with permissions to access Parameter Store. Retrieve the parameter with decryption enabled during Lambda execution.

B

Store the password using AWS Secrets Manager with an AWS KMS customer-managed key. Attach a resource-based policy to the secret granting access to the target AWS accounts. Configure Lambda execution roles with permissions to retrieve the secret. Access the secret directly from Secrets Manager during Lambda execution.

C

Encrypt the password using an AWS KMS customer-managed key. Store the encrypted password in an Amazon S3 bucket. Create a bucket policy allowing cross-account access. Configure Lambda execution roles with S3 read permissions and KMS decrypt permissions. Retrieve and decrypt the password during Lambda execution.

D

Store the password in Amazon DynamoDB with encryption enabled using an AWS KMS AWS-managed key. Create an IAM policy allowing cross-account access to the DynamoDB table. Configure Lambda execution roles with DynamoDB read permissions. Retrieve and decrypt the password during Lambda execution.