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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 #33 / 719

A company processes large-scale distributed data analysis jobs using AWS Batch. Each job is stateless, fault-tolerant, and runs for up to 4 hours.

Which pricing model should the company use to minimize costs while meeting these requirements?

A

Reserved Instances

B

Spot Instances

C

On-Demand Instances

D

Dedicated Instances

Question #199 / 719

A company operates an Amazon EC2 instance within a private subnet. The instance requires access to the internet to download security patches but must remain inaccessible from the internet. Which AWS service should be used to fulfill these requirements?

A

VPC endpoint

B

NAT gateway

C

AWS PrivateLink

D

VPC peering

AWS Certified Solutions Architect - Associate

Sample Questions

Question #809 / 1019

A company uses an AWS Step Functions workflow to orchestrate its order processing pipeline. The company requires a serverless solution to trigger a third-party inventory management system's HTTP API, which uses username and password authentication, when the workflow completes successfully.

Which solution will meet these requirements?

A

Configure an Amazon EventBridge rule to match AWS Step Functions EXECUTION_SUCCEEDED events. Set up the third-party API as an EventBridge API destination with basic authentication. Assign the API destination as the EventBridge rule target.

B

Create an Amazon EventBridge Scheduler to detect Step Functions EXECUTION_SUCCEEDED events. Configure an AWS Lambda function to invoke the third-party API with username and password credentials. Set the Lambda function as the EventBridge target.

C

Configure the Step Functions workflow to send EXECUTION_SUCCEEDED events to an Amazon API Gateway REST API. Implement an HTTP proxy integration on the API Gateway to directly invoke the third-party API using basic authentication.

D

Configure the Step Functions workflow to publish EXECUTION_SUCCEEDED events to an Amazon SNS topic. Subscribe an AWS Lambda function to the topic, and configure the Lambda function to call the third-party API with username and password authentication.

Question #361 / 1019

A social media platform requires real-time interaction data to be accessed with sub-millisecond latency and occasional analysis on historical datasets. Which solution meets these requirements with the LEAST operational overhead?

A

Use Amazon Aurora for frequently accessed data. Schedule periodic exports to an Amazon S3 bucket using AWS Lambda. Run one-time queries on the S3 data using Amazon Redshift.

B

Store all data directly in Amazon S3. Use S3 Lifecycle policies to archive older data to S3 Glacier Flexible Retrieval. Perform one-time queries using Amazon Athena.

C

Use Amazon DynamoDB with DynamoDB Accelerator (DAX) for real-time data access. Export data to Amazon S3 via DynamoDB table exports. Analyze historical data in S3 using Amazon Athena.

D

Use Amazon DynamoDB for real-time data. Enable Kinesis Data Streams for continuous data capture. Use Kinesis Data Firehose to buffer and store data in Amazon S3.

AWS Certified Solutions Architect - Professional

Sample Questions

Question #182 / 529

A company is migrating a database application to AWS and wants to use fully managed services. The database stores sensitive transaction records with the following requirements:

- The data must be highly durable and available
- The data must be encrypted at rest and in transit
- The encryption keys must be managed by the company and rotated periodically

Which solution should the solutions architect recommend?

A

Use Amazon RDS with SSL connections and encryption at rest using an AWS KMS customer-managed key.

B

Use Amazon DynamoDB with SSL for data in transit and server-side encryption using an AWS KMS customer-managed key.

C

Deploy Amazon EC2 instances with encrypted EBS volumes using a customer-managed KMS key and configure SSL on the database application.

D

Use Amazon S3 with a bucket policy enforcing HTTPS and server-side encryption using AWS KMS.

Question #341 / 529

A company operates a high-traffic web application on AWS using Amazon EC2 instances and AWS Lambda functions. The application's data is stored in an Amazon Aurora PostgreSQL database configured for high performance with a memory-optimized DB instance. The traffic pattern is highly variable, with unpredictable spikes that overwhelm the database during peak times, leading to performance issues. The current setup is costly during off-peak periods due to underutilized resources.

A solutions architect must propose a solution that automatically scales the database to handle traffic fluctuations while minimizing costs.

Which solution is MOST cost-effective?

A

Add read replicas to the Aurora database and purchase EC2 Reserved Instances and RDS Reserved Instances.

B

Migrate the database to an Aurora cluster with multi-master write nodes and purchase Instance Savings Plans.

C

Deploy an Aurora global database and purchase Compute Savings Plans and RDS Reserved Instances.

D

Migrate the database to Aurora Serverless v2 and purchase Compute Savings Plans.

AWS Certified Developer – Associate

Sample Questions

Question #71 / 557

A developer is working on an existing application that uses Amazon DynamoDB as its data store. The DynamoDB table has the following attributes: userID (partition key), timestamp (sort key), category, subcategory, and status. When the developer analyzes the usage patterns, the developer notices that there are application modules that frequently look for a list of items based on the category and subcategory attributes.

The developer wants to make changes to the application to improve performance of the query operations.

Which solution will meet these requirements?

A

Create a global secondary index (GSI) with category as the partition key and subcategory as the sort key.

B

Create a local secondary index (LSI) with category as the partition key and subcategory as the sort key.

C

Recreate the table. Add userID as the partition key and timestamp as the sort key. During table creation, add a local secondary index (LSI) with category as the partition key and subcategory as the sort key.

D

Update the queries to use Scan operations with category as the partition key and subcategory as the sort key.

Question #486 / 557

A developer is designing an AWS Step Functions state machine to manage a data validation process. The state machine must pause until a validation record is added to an Amazon DynamoDB table by an external service. Once the record is present, the state machine should proceed with the next steps.

Which solution fulfills this requirement?

A

Modify the state machine to include a DynamoDB GetItem task that checks for the validation record. If the record exists, proceed; otherwise, wait for 10 minutes and check again.

B

Set up a DynamoDB Stream to trigger an AWS Lambda function when a new record is added. The Lambda function invokes the RedriveExecution API for the paused state machine execution to resume.

C

Configure an Amazon EventBridge rule to detect the DynamoDB record addition and trigger a Lambda function that starts a new state machine execution.

D

Use a Lambda function within the state machine to poll the DynamoDB table continuously until the validation record is found, then return success. If the Lambda times out, fail the state machine.