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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 #651 / 719

A financial institution must process sensitive customer data within its own data center to comply with data residency laws. The institution plans to leverage AWS for non-sensitive workloads while ensuring seamless integration between on-premises and cloud environments using consistent management interfaces. Which AWS solution should the institution implement to satisfy these requirements?

A

Dedicated Hosts

B

AWS Outposts

C

Availability Zones

D

AWS Wavelength

Question #638 / 719

A company requires their infrastructure to dynamically scale computing resources up or down based on real-time demand to handle varying workloads efficiently. Which cloud computing feature enables this capability?

A

Availability

B

Elasticity

C

Durability

D

Reliability

AWS Certified Solutions Architect - Associate

Sample Questions

Question #373 / 1019

A financial analytics firm processes transaction data streamed from global markets. The data is ingested via Amazon Kinesis Data Streams and stored in Amazon S3 using Amazon Kinesis Data Firehose. The firm generates billions of S3 objects annually. Each day, the company analyzes data from the previous 7 days to update real-time trading algorithms. Quarterly, the firm uses data from the past 12 months to backtest and optimize machine learning models. The data must be accessible with minimal latency for up to 1 year and archived thereafter.

A

Use the S3 Intelligent-Tiering storage class. Create an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 1 year.

B

Use the S3 Intelligent-Tiering storage class. Configure S3 Intelligent-Tiering to automatically move objects to S3 Glacier Deep Archive after 1 year.

C

Use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class. Create an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 1 year.

D

Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 7 days, and then to S3 Glacier Deep Archive after 1 year.

Question #148 / 1019

A company uses an Amazon EventBridge rule to trigger an AWS Lambda function whenever new data is available. The Lambda function processes the data and stores it in an Amazon DynamoDB table. Occasionally, the Lambda function fails due to transient errors, and the corresponding data is not processed unless the company manually reruns the event.

What should a solutions architect do to ensure all events are eventually processed?

A

Configure the Lambda function to use multiple Availability Zones for deployment.

B

Increase the memory allocation and timeout settings of the Lambda function.

C

Modify the EventBridge rule's retry policy to increase the number of retries and the maximum event age.

D

Configure an Amazon Simple Queue Service (Amazon SQS) queue as the Lambda's dead-letter queue (DLQ). Modify the Lambda function to process messages from the queue.

AWS Certified Solutions Architect - Professional

Sample Questions

Question #72 / 529

An application is using an Amazon RDS for PostgreSQL Multi-AZ DB instance in the us-west-2 Region. After a failover event, the application lost connections to the database and could not reconnect until it was manually restarted. A solutions architect must ensure the application can automatically re-establish connections to the database without requiring a restart.

Which solution will meet these requirements?

A

Create an Amazon Aurora PostgreSQL Serverless v2 DB cluster. Migrate the RDS DB instance to the Aurora Serverless v2 cluster. Update the application's connection settings to use the Aurora reader endpoint.

B

Create an RDS Proxy. Configure the existing RDS endpoint as a target. Update the application's connection settings to point to the RDS Proxy endpoint.

C

Create a Multi-AZ Amazon Aurora PostgreSQL DB cluster. Migrate the RDS DB instance to the Aurora cluster. Configure an RDS Proxy with the Aurora cluster as the target. Update the application's connection settings to use the RDS Proxy endpoint.

D

Use AWS Database Migration Service (AWS DMS) to replicate the database to an Amazon DynamoDB table. Update the application to use the AWS SDK to connect to DynamoDB for all database operations.

Question #449 / 529

A company is conducting a week-long experiment in a remote area with no internet connectivity. Sensors on a local network will generate 8 TB of data in a proprietary format. The sensors can upload data via FTP but lack an FTP server. The company needs to aggregate the data centrally and transfer it to Amazon S3 immediately after the experiment.

Which solution meets these requirements?

A

Order an AWS Snowball Edge Storage Optimized device. Connect it to the local network. Configure AWS DataSync to transfer data to the device via NFS. After the experiment, return the device to AWS to load the data into Amazon S3.

B

Order an AWS Snowcone device with an Amazon Linux 2 AMI. Connect it to the local network. Launch an Amazon EC2 instance on the device and create a script to pull data from the sensors. Return the device to AWS to load the data into an Amazon EBS volume.

C

Order an AWS Snowball Edge Compute Optimized device. Connect it to the local network. Launch an Amazon EC2 instance on the device, install an FTP server, and configure the sensors to upload data to the instance. Return the device to AWS to load the data into Amazon S3.

D

Order an AWS Snowcone device. Configure it with Amazon FSx. Configure the sensors to upload data to the FSx file system. Use AWS DataSync to synchronize the data with an Amazon S3 bucket. Return the device to AWS.

AWS Certified Developer – Associate

Sample Questions

Question #414 / 557

A developer has AWS Lambda functions that require access to dynamically updated machine learning models and training datasets. Separate teams manage the model development and dataset curation. Both teams must be able to modify and deploy new versions of their respective assets independently. The Lambda functions operate within the company's central VPC.

Which solution will provide the Lambda functions with consistent access to the latest models and datasets while maintaining team autonomy?

A

Attach an Amazon Elastic Block Store (Amazon EBS) volume to the Lambda functions using EBS Multi-Attach in the central VPC. Grant the Lambda execution roles access to the EBS volume. Modify the Lambda code to read assets directly from the mounted volume.

B

Package the models and datasets in the Lambda deployment package's /tmp directory. Update the Lambda code to load assets from the /tmp directory during execution.

C

Create an Amazon Elastic File System (Amazon EFS) file system with mount targets in the central VPC. Configure the Lambda functions to mount the EFS file system. Grant the Lambda execution roles permissions to access the EFS resources.

D

Deploy an Amazon FSx for Lustre file system with VPC mount targets. Configure Lambda functions to mount the FSx file system. Update Lambda execution roles to permit access to the FSx resources.

Question #67 / 557

A logistics company tracks its fleet vehicles using GPS devices that send location data every 30 seconds to a central system. The system must store vehicle ID and timestamp for each reading. The company requires real-time access to current locations and historical routes, with the ability to scale seamlessly as the fleet expands. The solution must maintain high performance without downtime during scaling.

Which solution will meet these requirements MOST cost-effectively?

A

Store the GPS data in an Amazon RDS database. Create an index on the vehicle ID and timestamp columns. Use the columns to filter queries for real-time and historical data.

B

Store the GPS data in an Amazon DynamoDB table. Create a composite key using the vehicle ID and timestamp columns. Use the columns to filter queries for real-time and historical data.

C

Store the GPS data in Amazon ElastiCache for Redis. Create a SortedSet key using the vehicle ID and timestamp columns. Use the columns to filter queries for real-time and historical data.

D

Store the GPS data in Amazon S3. Partition the data by vehicle ID and timestamp columns. Use Amazon Athena to query historical data and Lambda for real-time access.