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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 #446 / 719

A company stores compliance reports that regulators access once every six months. Which Amazon S3 storage class should the company use to store the data with the LOWEST cost?

A

Amazon S3 Outposts

B

Amazon S3 Glacier Instant Retrieval

C

Amazon S3 Standard

D

Amazon S3 Intelligent-Tiering

Question #661 / 719

A company needs to migrate an on-premises virtual machine hosting a legacy application on Windows Server 2016 to AWS. The migration must be automated to ensure minimal downtime and allow the server to operate natively on AWS infrastructure without reconfiguration. Which AWS service best meets these requirements?

A

AWS DataSync

B

AWS Database Migration Service (AWS DMS)

C

AWS Application Discovery Service

D

AWS Application Migration Service

AWS Certified Solutions Architect - Associate

Sample Questions

Question #448 / 1019

A company has two VPCs named Development and Testing. The Development VPC uses a virtual private gateway with two AWS Direct Connect connections to link to an on-premises data center. The Testing VPC relies on a VPN connection through a single customer gateway device. The Development and Testing VPCs are interconnected via a single VPC peering connection to facilitate communication between their respective applications.

What should a solutions architect recommend to eliminate any single point of failure in this architecture?

A

Establish an additional VPN connection between the Development and Testing VPCs.

B

Deploy a second virtual private gateway and attach it to the Testing VPC.

C

Implement a second VPN connection for the Testing VPC using another customer gateway device.

D

Create a second VPC peering connection between the Development and Testing VPCs.

Question #808 / 1019

A company is using Amazon ECS to run their containerized applications. They need to ensure that all container images in their repository are automatically scanned for vulnerabilities both when new images are pushed and any existing images are rescanned periodically. The solution must require minimal changes to their current setup.

Which solution meets these requirements with the LEAST operational overhead?

A

Use Amazon ECR as the container registry. Enable automated scanning on image push and configure a scheduled scan for existing images using ECR's built-in features.

B

Store images in an Amazon S3 bucket. Use Amazon Inspector to scan images upon upload via S3 Event Notifications and set up an AWS Lambda function to trigger weekly scans.

C

Migrate the container workloads to AWS Fargate. Use Amazon ECR with enhanced scanning enabled to automatically scan images on push and perform recurring scans.

D

Implement a third-party image scanning tool integrated through AWS Lambda. Configure Amazon EventBridge to trigger scans on image push events and weekly rescans.

AWS Certified Solutions Architect - Professional

Sample Questions

Question #157 / 529

A retail chain is developing a real-time inventory tracking system for its stores. The company uses ceiling-mounted cameras to monitor shelf stock levels. The company has trained an Amazon SageMaker machine learning (ML) model to detect low stock items from images. The company needs to trigger alerts for restocking via a local notification system, even during internet outages. A Linux server on premises hosts a REST API that manages the alert system.

How should the company deploy the ML model to meet these requirements?

A

Configure Amazon Kinesis Data Streams to ingest images from the cameras. Use AWS Lambda to extract frames and store them in Amazon S3. Deploy a SageMaker endpoint for the ML model. Trigger a Lambda function to run inference on new images and invoke the local API via AWS Direct Connect when low stock is detected.

B

Install AWS IoT Greengrass on the local server. Deploy the ML model to the Greengrass core. Create a Greengrass component to capture images from the cameras, perform local inference, and trigger the REST API directly when low stock is identified.

C

Use AWS Outposts to host a SageMaker endpoint and EC2 instance locally. Capture images from the cameras, run inference on the EC2 instance via the SageMaker endpoint, and configure the instance to call the local API when low stock is detected.

D

Deploy AWS Panorama Appliances on each camera. Train the ML model directly on the Panorama devices. Use Amazon EventBridge to route low stock alerts to the local API via an on-premises AWS Storage Gateway.

Question #440 / 529

A software as a service (SaaS) company hosts a media processing solution across 40 VPCs distributed globally in multiple AWS Regions and accounts. One VPC is designated as a logging VPC, which aggregates audit logs from all other VPCs. The compute resources in the VPCs operate independently.

The company needs to ensure all 40 VPCs can communicate bidirectionally. Additionally, one-way access from each customer's VPC to the logging VPC is required to transmit logs. The logging VPC hosts a centralized logging service that processes and stores audit data.

The number of VPCs will expand as the company onboards new customers.

Which combination of steps will provide the required connectivity with the LEAST operational overhead? (Choose two.)

B

Establish VPC peering connections between every pair of company VPCs.

A

Create a transit gateway. Attach all company VPCs and relevant subnets to the transit gateway.

C

Deploy a Network Load Balancer (NLB) linked to the logging service. Create an AWS PrivateLink endpoint service accessible to customer VPCs and associate it with the NLB.

D

Configure a VPN gateway in each customer's VPC. Establish AWS Site-to-Site VPN connections between the logging VPC and each customer's VPC.

E

Create VPC peering connections between the logging VPC and each customer's VPC.

AWS Certified Developer – Associate

Sample Questions

Question #555 / 557

A developer created several AWS Lambda functions that interact with an Amazon DynamoDB table. The developer configured all the Lambda functions to send logs and metrics to Amazon CloudWatch. The developer receives reports that one of the Lambda functions experiences high latency when writing data to the DynamoDB table. The developer needs to measure the latency between the problematic Lambda function and the DynamoDB table. Which solution will meet this requirement?

A

Enable AWS X-Ray on the Lambda function. In the generated trace map, select the line between Lambda and DynamoDB.

B

Query the Lambda function\u2019s log file in Amazon CloudWatch Logs Insights. Return the average of the auto-discovered @duration field.

C

Enable CloudWatch Lambda Insights on the function. View the latency graph that CloudWatch Lambda Insights provides.

D

Enable AWS X-Ray on the Lambda function. Select DynamoDB in the latency graph to view the latency histogram.

Question #379 / 557

A developer is monitoring an AWS Lambda function configured to process real-time data. The developer has created a custom Amazon CloudWatch metric with a data granularity of 1 second to track the function's execution duration. If the function exceeds a specified threshold, the developer needs to receive an Amazon SNS notification within 20 seconds. What should the developer do to achieve this?

A

Create a high-resolution CloudWatch alarm.

B

Use Amazon CloudWatch Logs subscriptions.

C

Configure a standard-resolution CloudWatch alarm.

D

Enable AWS Lambda detailed monitoring.