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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 #689 / 719

Which type of application is most appropriate for Amazon EC2 Spot Instances?

A

A long-running application requiring consistent compute capacity without interruption

B

A fault-tolerant application that can handle interruptions and reduce expenses

C

A mission-critical workload needing guaranteed availability

D

A short-term application requiring reserved instance pricing

Question #447 / 719

Which action should a company take to securely enable an application running on an EC2 instance to access AWS resources?

A

Attach an IAM role with the necessary permissions to the EC2 instance.

B

Create an access key for the AWS account root user and embed it in the application.

C

Store long-term IAM user access keys in the application's environment variables.

D

Create an IAM user with administrator permissions and hardcode their credentials in the application.

AWS Certified Solutions Architect - Associate

Sample Questions

Question #272 / 1019

A company hosts a dynamic web application on Amazon EC2 instances behind an Application Load Balancer (ALB) in the eu-west-1 region. Users in different regions report varying latency, especially on mobile devices. The company wants to improve performance globally without replicating the infrastructure across multiple regions. The application serves different content based on the User-Agent header to optimize for mobile or desktop users. What should a solutions architect do to meet these requirements?

A

Replace the existing architecture with a static website hosted on Amazon S3. Configure an Amazon CloudFront distribution with the S3 bucket as the origin. Set the cache behavior to cache based on the User-Agent request header.

B

Configure an Amazon CloudFront distribution with the ALB as the origin. Set the cache behavior settings to cache based on the User-Agent request header.

C

Create an Amazon API Gateway API integrated with the ALB using HTTP integration. Enable API Gateway caching based on the User-Agent header.

D

Deploy EC2 instances in additional Regions and configure a caching layer using Varnish. Use Amazon Route 53 with a geolocation routing policy to direct traffic.

Question #172 / 1019

A solutions architect is designing an Amazon CloudFront distribution for a compliance-sensitive application. The application already uses HTTPS, but regulatory requirements mandate that specific user data fields must remain encrypted at all stages of processing. Additionally, decryption should only be possible by authorized backend services. Which configuration should the solutions architect implement to meet these requirements?

A

Use CloudFront signed URLs to restrict access to sensitive data.

B

Implement CloudFront signed cookies to authenticate users.

C

Enable CloudFront field-level encryption for the specified data fields.

D

Set the Origin Protocol Policy to HTTPS Only and enforce strict TLS versions.

AWS Certified Solutions Architect - Professional

Sample Questions

Question #288 / 529

A company is developing a global video streaming platform that allows users to upload and transcode videos in real-time. At peak, the service must handle 15,000 concurrent uploads worldwide. After upload, videos must be processed to generate adaptive bitrate streams, which are then distributed via a content delivery network (CDN).

Which architecture should a solutions architect recommend?

A

Store uploaded videos in Amazon Elastic File System (Amazon EFS). Use Amazon CloudWatch Logs to track upload events. Deploy Amazon EC2 instances that monitor CloudWatch Logs to trigger video processing. Store transcoded videos in a separate EFS directory. Configure Amazon CloudFront with an EC2 instance as the origin.

B

Store uploaded videos in an Amazon S3 bucket and configure S3 event notifications to publish to Amazon Simple Notification Service (Amazon SNS). Use EC2 instances behind an Application Load Balancer (ALB) to consume SNS messages for processing. Store transcoded videos in Amazon EFS. Scale EC2 instances using CloudWatch metrics for SNS message volume. Set CloudFront's origin to the ALB.

C

Store uploaded videos in an Amazon S3 bucket and configure S3 event notifications to send messages to an Amazon Simple Queue Service (SQS) queue. Deploy auto-scaling EC2 instances to process videos by pulling messages from the SQS queue. Store transcoded videos in another S3 bucket. Scale EC2 instances based on SQS queue depth using CloudWatch. Configure CloudFront with the processed S3 bucket as the origin.

D

Store uploaded videos on a shared Amazon Elastic Block Store (EBS) volume attached to EC2 Spot instances. Track processing status in an Amazon DynamoDB table. Use Amazon EventBridge rules to scale EC2 instances. Configure CloudFront with an Elastic Load Balancer (ELB) as the origin.

Question #315 / 529

A company operates a data analytics platform in an AWS Region located in the United States. The platform utilizes an Amazon API Gateway Regional API and AWS Lambda functions to process real-time analytics from an Amazon RDS for PostgreSQL database. The frontend is hosted on Amazon S3 and delivered via an Amazon CloudFront distribution. Amazon Route 53 is employed as the DNS service with a simple routing policy directing traffic to the API Gateway.

The company plans to expand into Asia within six months, where over 85% of the database operations are read-only. They have already deployed the API Gateway and Lambda functions in the new Region.

A solutions architect must design a solution to reduce latency for users accessing analytics reports.

Which solution meets these requirements?

A

Use AWS DMS with full load to replicate the database to the new Region. Switch Route 53 to geolocation routing.

B

Use AWS DMS with full load plus CDC to replicate the database to the new Region. Switch Route 53 to latency-based routing.

C

Configure a cross-Region read replica for the RDS database in the new Region. Change the Route 53 record to latency-based routing to connect to the API Gateway API.

D

Configure a cross-Region read replica for the RDS database in the new Region. Change the Route 53 record to geolocation routing to connect to the API Gateway API.

AWS Certified Developer – Associate

Sample Questions

Question #247 / 557

A company runs a data analysis application on an Amazon EC2 instance. Each data batch must be processed within 3 minutes. If processing exceeds this time, the operations team must receive an alert.

How can a developer implement the required time measurement and alerting with the LEAST operational overhead?

A

Create an Amazon CloudWatch custom metric. Each time a batch is processed, publish the processing time as a metric value. Create a CloudWatch alarm based on a static threshold of 3 minutes. Notify the operations team by using an Amazon Simple Notification Service (Amazon SNS) topic.

B

Create an Amazon Simple Queue Service (Amazon SQS) queue. Each time a batch is processed, publish the processing time to the queue. Develop an application to consume messages from the queue and check for values exceeding 3 minutes. Notify the operations team by using an Amazon Simple Notification Service (Amazon SNS) topic.

C

Create an Amazon CloudWatch custom metric. Each time a batch is processed, publish the processing time as a metric value. Create a CloudWatch alarm that triggers if the average processing time exceeds 3 minutes. Notify the operations team by sending an Amazon Simple Email Service (Amazon SES) message.

D

Create an Amazon Kinesis data stream. Each time a batch is processed, publish the processing time to the stream. Configure a CloudWatch alarm to trigger if any value exceeds 3 minutes. Notify the operations team by using an Amazon Simple Notification Service (Amazon SNS) topic.

Question #465 / 557

A company’s AWS accounts are part of an AWS Organizations organization. An ECS task running in Account A requires environment variables stored in AWS Systems Manager Parameter Store. A new ECS task in Account B must use the same parameters without duplication. Which solution provides access with the LEAST operational overhead?

A

Create an IAM user in Account A with parameter access and configure the Account B task to use these credentials.

B

Use AWS Resource Access Manager (RAM) to share the parameters directly between Account A and Account B.

C

Develop a script to copy parameters to an S3 bucket shared between both accounts and access them from there.

D

Establish an IAM role in Account A granting parameter access, allowing the Account B task to assume this role.