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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 #546 / 719

A company is using an Application Load Balancer (ALB) to distribute traffic for its web application. The company needs to define rules to block specific attack patterns, such as SQL injection and cross-site scripting (XSS), targeting the ALB.

Which AWS service should be used to fulfill this requirement?

A

Amazon GuardDuty

B

AWS WAF

C

Amazon Macie

D

AWS Shield

Question #409 / 719

Which task is the responsibility of a company that is using Amazon RDS?

A

Ensure the physical security of the data centers.

B

Manage the encryption keys used for database storage.

C

Install and maintain the server hardware.

D

Apply patches to the RDS database engine.

AWS Certified Solutions Architect - Associate

Sample Questions

Question #372 / 1019

A company is migrating a satellite imagery database to AWS. The database contains millions of high-resolution images, each identified by a unique weather zone code. During severe weather events, the system experiences rapid updates, with thousands of images modified every few minutes. Each weather zone code corresponds to a single image. The company requires a highly available and scalable solution that remains cost-effective during peak loads.

Which solution BEST meets these requirements?

A

Store the images and weather zone codes in a database table. Use Oracle running on an Amazon RDS Multi-AZ DB instance.

B

Store the images in Amazon S3 buckets. Use Amazon DynamoDB with the weather zone code as the key and the image S3 URL as the value.

C

Store the images and weather zone codes in an Amazon DynamoDB table. Configure DynamoDB Accelerator (DAX) during times of high load.

D

Store the images in Amazon S3 buckets. Store weather zone codes and image S3 URLs in a database table. Use Oracle running on an Amazon RDS Multi-AZ DB instance.

Question #768 / 1019

A serverless application uses an Amazon DynamoDB table to store user session data. The development team must ensure the table can be restored to any point in time within the last 24 hours with minimal management effort. Which solution fulfills this requirement MOST effectively?

A

Enable point-in-time recovery (PITR) for the DynamoDB table.

B

Create a scheduled AWS Backup plan to back up the table every hour.

C

Configure DynamoDB Streams and archive the change records in an Amazon S3 bucket.

D

Deploy an AWS Step Functions workflow to trigger hourly on-demand backups of the table.

AWS Certified Solutions Architect - Professional

Sample Questions

Question #43 / 529

A company is using Amazon OpenSearch Service to store and analyze application logs. The company ingests logs into an OpenSearch Service cluster with 12 data nodes from an Amazon S3 bucket that uses S3 Standard-Infrequent Access (S3 Standard-IA). The logs remain in the cluster for 6 months for analysis, after which the company deletes the indexes. Compliance regulations require the company to retain all logs for 5 years. The company wants to minimize costs while meeting compliance requirements.

Which solution will meet these requirements MOST cost-effectively?

A

Replace all data nodes with UltraWarm nodes to handle the logging workload. Transition the input logs from S3 Standard-IA to S3 Glacier Deep Archive immediately upon ingestion into the cluster.

B

Reduce the number of data nodes in the cluster to 3. Add UltraWarm nodes to handle the logging workload. Configure indexes to transition to UltraWarm during ingestion. Apply an S3 Lifecycle policy to transition the input logs to S3 Glacier Deep Archive 6 months after ingestion.

C

Reduce the number of data nodes in the cluster to 3. Use instance-backed storage for the remaining data nodes. Transition the input logs from S3 Standard-IA to S3 Glacier Deep Archive immediately upon ingestion into the cluster.

D

Reduce the number of data nodes in the cluster to 3. Add UltraWarm nodes and cold storage nodes to the cluster. Configure indexes to transition from UltraWarm to cold storage after 6 months. Delete the input logs from S3 using an S3 Lifecycle policy after 6 months.

Question #179 / 529

A solutions architect is designing a system to process messages that must automatically scale based on workload and redirect failed messages to a dead-letter queue after three processing attempts. Which solution meets these requirements?

A

Send messages to an Amazon SNS topic. Configure an AWS Lambda function as a subscriber. Set the Lambda function's on-failure destination to an Amazon SQS queue with a retry policy of two attempts.

B

Use an Amazon SQS queue to receive messages. Configure an AWS Lambda function with the queue as an event source. Set the queue's redrive policy to a max receive count of 3 and specify a dead-letter queue.

C

Write messages to an Amazon Kinesis Data Stream. Configure an AWS Lambda function to process records. Set the event source mapping's retry attempts to 3 and specify a dead-letter queue.

D

Publish messages to an Amazon EventBridge event bus. Configure an AWS Lambda function as a target with a retry policy of three attempts. Route failed events to an Amazon SQS queue.

AWS Certified Developer – Associate

Sample Questions

Question #495 / 557

A company is building an application to accept data from customers. The data must be encrypted at rest and in transit.

The application uses an Amazon CloudFront distribution with field-level encryption that uses an AWS KMS key, which forwards requests to an AWS AppSync GraphQL API. The AppSync API resolves to AWS Lambda functions that store the data in an Amazon DynamoDB table. The application worked properly during testing without field-level encryption.

After enabling field-level encryption in CloudFront, the application started storing ciphertext in DynamoDB. The developer must ensure data is stored as plaintext.

Which solution meets this requirement?

B

Modify the Lambda functions to decrypt the encrypted fields using the KMS key before storing in DynamoDB.

A

Configure AppSync to use a Lambda authorizer that decrypts the data before processing.

C

Enable encryption on DynamoDB using the same KMS key used by CloudFront.

D

Update the CloudFront distribution to disable field-level encryption and use HTTPS only.

Question #426 / 557

A developer is using AWS Lambda to process messages from an Amazon SQS standard queue. The Lambda function transforms each message and stores the results in an Amazon DynamoDB table. The SQS queue is expected to handle up to 2,000 messages per second. During testing, the developer notices that some entries in DynamoDB are duplicated. Investigation reveals that the same message was processed multiple times by Lambda, with duplicates appearing within 30 seconds of each other. How should the developer resolve this issue?

A

Create an SQS FIFO queue. Enable message deduplication on the SQS FIFO queue.

B

Reduce the maximum Lambda concurrency that the SQS queue can invoke.

C

Use Lambda's temporary storage to keep track of processed message identifiers.

D

Configure a message group ID for every sent message. Enable message deduplication on the SQS standard queue.