Free Amazon Web Services SAP-C02 Practice Exam with Questions & Answers | Set: 2

Name: How to Pass SAP-C02 Exams
Brand: Examstrack
SKU: sap-c02
Price: 31.5 USD
Availability: InStock

Questions 16

A company has developed APIs that use Amazon API Gateway with Regional endpoints. The APIs call AWS Lambda functions that use API Gateway authentication mechanisms. After a design review, a solutions architect identifies a set of APIs that do not require public access.

The solutions architect must design a solution to make the set of APIs accessible only from a VPC. All APIs need to be called with an authenticated user.

Which solution will meet these requirements with the LEAST amount of effort?

Options:

Create an internal Application Load Balancer (ALB). Create a target group. Select the Lambda function to call. Use the ALB DNS name to call the API from the VPC.

Remove the DNS entry that is associated with the API in API Gateway. Create a hosted zone in Amazon Route 53. Create a CNAME record in the hosted zone. Update the API in API Gateway with the CNAME record. Use the CNAME record to call the API from the VPC.

Update the API endpoint from Regional to private in API Gateway. Create an interface VPC endpoint in the VPC. Create a resource policy, and attach it to the API. Use the VPC endpoint to call the API from the VPC.

Deploy the Lambda functions inside the VPC. Provision an EC2 instance, and install an Apache server. From the Apache server, call the Lambda functions. Use the internal CNAME record of the EC2 instance to call the API from the VPC.

Amazon Web Services SAP-C02 Premium Access

Brendan Copeland

16-Mar-2026

SAP-C02 success guaranteed with Examstrack. Their comprehensive study materials and dumps ensure a 100% valid test preparation.

Justice Trujillo

28-Mar-2026

Aced SAP-C02 thanks to Examstrack. Their Amazon Web Services study guide and PDFs are top-notch for anyone aiming for high scores.

Questions 17

A company has hundreds of AWS accounts. The company uses an organization in AWS Organizations to manage all the accounts. The company has turned on all features.

A finance team has allocated a daily budget for AWS costs. The finance team must receive an email notification if the organization's AWS costs exceed 80% of the allocated budget. A solutions architect needs to implement a solution to track the costs and deliver the notifications.

Which solution will meet these requirements?

Options:

In the organization's management account, use AWS Budgets to create a budget that has a daily period. Add an alert threshold and set the value to 80%. Use Amazon Simple Notification Service (Amazon SNS) to notify the finance team.

In the organization’s management account, set up the organizational view feature for AWS Trusted Advisor. Create an organizational view report for cost optimization.Set an alert threshold of 80%. Configure notification preferences. Add the email addresses of the finance team.

Register the organization with AWS Control Tower. Activate the optional cost control (guardrail). Set a control (guardrail) parameter of 80%. Configure control (guardrail) notification preferences. Use Amazon Simple Notification Service (Amazon SNS) to notify the finance team.

Configure the member accounts to save a daily AWS Cost and Usage Report to an Amazon S3 bucket in the organization's management account. Use Amazon EventBridge to schedule a daily Amazon Athena query to calculate the organization’s costs. Configure Athena to send an Amazon CloudWatch alert if the total costs are more than 80% of the allocated budget. Use Amazon Simple Notification Service (Amazon SNS) to notify the finance team.

Questions 18

A company is developing a new serverless API by using Amazon API Gateway and AWS Lambda. The company integrated the Lambda functions with API Gateway to use several shared libraries and custom classes.

A solutions architect needs to simplify the deployment of the solution and optimize for code reuse.

Which solution will meet these requirements?

Options:

Deploy the shared libraries and custom classes into a Docker image. Store the image in an S3 bucket. Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.

Deploy the shared libraries and custom classes to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.

Deploy the shared libraries and custom classes to a Docker container in Amazon Elastic Container Service (Amazon ECS) by using the AWS Fargate launch type. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the deployed container as a Lambda layer.

Deploy the shared libraries, custom classes, and code for the API's Lambda functions to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Configure the API's Lambda functions to use the Docker image as the deployment package.

Questions 19

A company runs an unauthenticated static website (www.example.com) that includes a registration form for users. The website uses Amazon S3 for hosting and uses Amazon CloudFront as the content delivery network with AWS WAF configured. When the registration form is submitted, the website calls an Amazon API Gateway API endpoint that invokes an AWS Lambda function to process the payload and forward the payload to an external API call.

During testing, a solutions architect encounters a cross-origin resource sharing (CORS) error. The solutions architect confirms that the CloudFront distribution origin has the Access-Control-Allow-Origin header set towww.example.com.

What should the solutions architect do to resolve the error?

Options:

Change the CORS configuration on the S3 bucket. Add rules for CORS to the Allowed Origin element forwww.example.com.

Enable the CORS setting in AWS WAF. Create a web ACL rule in which the Access-Control-Allow-Origin header is set towww.example.com.

Enable the CORS setting on the API Gateway API endpoint. Ensure that the API endpoint is configured to return all responses that have the Access-Control -Allow-Origin header set towww.example.com.

Enable the CORS setting on the Lambda function. Ensure that the return code of the function has the Access-Control-Allow-Origin header set towww.example.com.

Questions 20

A company has mounted sensors to collect information about environmental parameters such as humidity and light throughout all the company's factories. The company needs to stream and analyze the data in the AWS Cloud in real time. If any of the parameters fall out of acceptable ranges, the factory operations team must receive a notification immediately.

Which solution will meet these requirements?

Options:

Stream the data to an Amazon Kinesis Data Firehose delivery stream. Use AWS Step Functions to consume and analyze the data in the Kinesis Data Firehose delivery stream. use Amazon Simple Notification Service (Amazon SNS) to notify the operations team.

Stream the data to an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster. Set up a trigger in Amazon MSK to invoke an AWS Fargate taskto analyze the data. Use Amazon Simple Email Service (Amazon SES) to notify the operations team.

Stream the data to an Amazon Kinesis data stream. Create an AWS Lambda function to consume the Kinesis data stream and to analyze the data. UseAmazon Simple Notification Service (Amazon SNS) to notify the operations team.

Stream the data to an Amazon Kinesis Data Analytics application. I-Jse an automatically scaled and containerized service in Amazon Elastic Container Service (Amazon ECS) to consume and analyze the data. use Amazon Simple Email Service (Amazon SES) to notify the operations team.

Questions 21

A company's solutions architect needs to provide secure Remote Desktop connectivity to users for Amazon EC2 Windows instances that are hosted in a VPC. The solution must integrate centralized user management with the company's on-premises Active Directory. Connectivity to the VPC is through the internet. The company has hardware that can be used to establish an AWS Site-to-Site VPN connection.

Which solution will meet these requirements MOST cost-effectively?

Options:

Deploy a managed Active Directory by using AWS Directory Service for Microsoft Active Directory. Establish a trust with the on-premises Active Directory.Deploy an EC2 instance as a bastion host in the VPC. Ensure that the EC2 instance is joined to the domain. Use the bastion host to access the target instances through RDP.

Configure AWS IAM Identity Center (AWS Single Sign-On) to integrate with the on-premises Active Directory by using the AWS Directory Service for MicrosoftActive Directory AD Connector. Configure permission sets against user groups for access to AWS Systems Manager. Use Systems Manager Fleet Manager toaccess the target instances through RDP.

Implement a VPN between the on-premises environment and the target VPC. Ensure that the target instances are joined to the on-premises Active Directory domain over the VPN connection. Configure RDP access through the VPN. Connect from the company's network to the target instances.

Deploy a managed Active Directory by using AWS Directory Service for Microsoft Active Directory. Establish a trust with the on-premises Active Directory.Deploy a Remote Desktop Gateway on AWS by using an AWS Quick Start. Ensure that the Remote Desktop Gateway is joined to the domain. Use the Remote Desktop Gateway to access the target instances through RDP.

Questions 22

A company deploys a new web application. As pari of the setup, the company configures AWS WAF to log to Amazon S3 through Amazon Kinesis Data Firehose. The company develops an Amazon Athena query that runs once daily to return AWS WAF log data from the previous 24 hours. The volume of daily logs is constant. However, over time, the same query is taking more time to run.

A solutions architect needs to design a solution to prevent the query time from continuing to increase. The solution must minimize operational overhead.

Which solution will meet these requirements?

Options:

Create an AWS Lambda function that consolidates each day's AWS WAF logs into one log file.

Reduce the amount of data scanned by configuring AWS WAF to send logs to a different S3 bucket each day.

Update the Kinesis Data Firehose configuration to partition the data in Amazon S3 by date and time. Create external tables for Amazon Redshift. Configure Amazon Redshift Spectrum to query the data source.

Modify the Kinesis Data Firehose configuration and Athena table definition to partition the data by date and time. Change the Athena query to view the relevant partitions.

Questions 23

An external audit of a company's serverless application reveals IAM policies that grant too many permissions. These policies are attached to the company's AWS Lambda execution roles. Hundreds of the company's Lambda functions have broad access permissions, such as full access to Amazon S3 buckets and Amazon DynamoDB tables. The company wants each function to have only the minimum permissions that the function needs to complete its task.

A solutions architect must determine which permissions each Lambda function needs.

What should the solutions architect do to meet this requirement with the LEAST amount of effort?

Options:

Set up Amazon CodeGuru to profile the Lambda functions and search for AWS API calls. Create an inventory of the required API calls and resources for each Lambda function. Create new IAM access policies for each Lambda function. Review the new policies to ensure that they meet the company's business requirements.

Turn on AWS CloudTrail logging for the AWS account. Use AWS Identity and Access Management Access Analyzer to generate IAM access policies based on the activity recorded in the CloudTrail log. Review the generated policies to ensure that they meet the company's business requirements.

Turn on AWS CloudTrail logging for the AWS account. Create a script to parse the CloudTrail log, search for AWS API calls by Lambda execution role, and create a summary report. Review the report. Create IAM access policies that provide more restrictive permissions for each Lambda function.

Turn on AWS CloudTrail logging for the AWS account. Export the CloudTrail logs to Amazon S3. Use Amazon EMR to process the CloudTrail logs in Amazon S3 and produce a report of API calls and resources used by each execution role. Create a new IAM access policy for each role. Export the generated roles to an S3 bucket. Review the generated policies to ensure that they meet the company's business requirements.

Questions 24

A company runs AWS workloads that are integrated with software as a service (SaaS) applications. The company needs to analyze the SaaS applications to identify unused licenses. Which solution will meet this requirement with the LEAST operational overhead?

Options:

Use AWS License Manager automated discovery to retrieve audit logs from the SaaS applications. Use Amazon Athena to analyze the data and to identify unused SaaS licenses.

Create an AWS Lambda function to retrieve audit logs from the SaaS applications and to store the data in Amazon S3. Use Amazon EMR to analyze the data and to identify unused SaaS licenses.

Use AWS AppFabric to ingest audit logs from the SaaS applications into Amazon S3. Use Amazon Athena to analyze the data and to identify unused SaaS licenses.

Use AWS App Runner to ingest audit logs from the SaaS applications into Amazon S3. Use Amazon EMR to analyze the data and to identify unused SaaS licenses.

Questions 25

A company has implemented an ordering system using an event-driven architecture. During initial testing, the system stopped processing orders. Further log analysis revealed that one order message in an Amazon Simple Queue Service (Amazon SQS) standard queue was causing an error on the backend and blocking all subsequentorder messages The visibility timeout of the queue is set to 30 seconds, and the backend processing timeout is set to 10 seconds. A solutions architect needs to analyze faulty order messages and ensure that the system continues to process subsequent messages.

Which step should the solutions architect take to meet these requirements?

Options:

Increase the backend processing timeout to 30 seconds to match the visibility timeout.

Reduce the visibility timeout of the queue to automatically remove the faulty message.

Configure a new SQS FIFO queue as a dead-letter queue to isolate the faulty messages.

Configure a new SQS standard queue as a dead-letter queue to isolate the faulty messages.

Questions 26

A company's AWS environment includes an Amazon RDS for MySQL database in a Multi-AZ deployment and an Amazon EC2 Auto Scaling group behind an Application Load Balancer (ALB). The Auto Scaling group spans two Availability Zones. The company also uses Amazon Route 53 for DNS hosting.

The company runs an application in its AWS environment. More than 95% of the application's operations are read operations. A solutions architect needs to deploy the workload to a second AWS Region. The solution must reduce application latency while maintaining business continuity.

What combination of solutions will meet these requirements? (Select TWO.)

Options:

Migrate the RDS for MySQL database to an Amazon Aurora MySQL global database. Create an ALB in the new Region. Deploy a new EC2 Auto Scaling group behind the new ALB.

Migrate the RDS for MySQL database to a Multi-AZ deployment in a new Region. Create an ALB in the new Region. Deploy an Amazon CloudFront distribution in front of the new ALB.

Configure latency-based routing in Route 53. Add a new record that points to both ALBs.

Configure geolocation routing in Route 53. Add a new alias record that points to both ALBs.

Migrate the RDS for MySQL database to Amazon Aurora Serverless v2. Create a new ALB. Deploy an EC2 Auto Scaling group behind the new ALB.

Answer:

A, C

Explanation:

The workload must be deployed to a second AWS Region to reduce latency for users while maintaining business continuity. Because more than 95% of operations are read operations, the database layer must efficiently support low-latency reads in multiple Regions without introducing complex replication logic or sacrificing availability.

Amazon Aurora MySQL global database is specifically designed for multi-Region deployments. It provides a single primary Region for writes and up to multiple secondary Regions with read-only replicas that use low-latency, storage-based replication. This architecture is well suited for read-heavy workloads because read traffic can be served locally in each Region while writes are centralized. Aurora global database also supports fast recovery and promotes a secondary Region in the event of a primary Region failure, which satisfies business continuity requirements.

Option A correctly migrates the existing RDS for MySQL database to an Aurora MySQL global database and deploys application infrastructure (ALB and Auto Scaling group) in the second Region. This enables applications in each Region to read from the closest Aurora replica, reducing read latency while preserving a managed, highly available database architecture.

To route users to the closest healthy Region, DNS-based traffic management is required. Route 53 latency-based routing directs users to the endpoint (ALB) with the lowest latency from their location. This directly addresses the requirement to reduce application latency while also supporting multi-Region availability.

Option C provides this routing capability by configuring latency-based routing with Route 53 and pointing records to both ALBs. Route 53 continuously evaluates latency and health checks to route traffic appropriately, which supports both performance and business continuity.

Option B is not sufficient because migrating to a separate Multi-AZ database in another Region does not provide a shared data layer or managed cross-Region replication. This would require custom replication and conflict resolution and does not maintain a single logical dataset across Regions. CloudFront improves content delivery for static assets but does not solve database read latency or data consistency.

Option D uses geolocation routing, which routes traffic based on user location rather than actual measured latency. This is less precise than latency-based routing and does not automatically adapt to changing network conditions or Region health.

Option E introduces Aurora Serverless v2, which is not designed for multi-Region global database replication. Aurora Serverless v2 focuses on scaling capacity within a Region, not on reducing latency across Regions or providing managed global read replicas.

Therefore, migrating to an Aurora MySQL global database and using Route 53 latency-based routing provides low-latency reads, high availability, and business continuity with minimal operational overhead.

[References:AWS documentation on Amazon Aurora global databases for multi-Region, low-latency read scaling and disaster recovery.AWS documentation on Amazon Route 53 latency-based routing for directing users to the lowest-latency endpoints across Regions., ]

Questions 27

A solutions architect has launched multiple Amazon EC2 instances in a placement group within a single Availability Zone. Because of additional load on the system, the solutions architect attempts to add new instances to the placement group. However, the solutions architect receives an insufficient capacity error.

What should the solutions architect do to troubleshoot this issue?

Options:

Use a spread placement group. Set a minimum of eight instances for each Availability Zone.

Stop and start all the instances in the placement group. Try the launch again.

Create a new placement group. Merge the new placement group with the original placement group.

Launch the additional instances as Dedicated Hosts in the placement groups.

Questions 28

A company hosts a multi-tier data processing application that consists of a static web application frontend and APIs that are hosted on multiple Amazon EC2 instances. The application stores search data on a single-node Amazon OpenSearch Service cluster that runs on an EC2 instance. The application stores additional data in a PostgreSQL database that runs on another EC2 instance. An NGINX server that is hosted on an EC2 instance serves the web application.

The company has experienced some support issues with the application and wants to modernize the application.

Which solution meets these requirements with the LEAST operational overhead?

Options:

Create an Amazon ECS cluster that runs on AWS Fargate. Configure the ECS cluster to pull images from the Amazon ECR public repositories for OpenSearch Service, PostgreSQL, and NGINX and from a private repository for the APIs.

Host the web application on Amazon CloudFront by using an Amazon S3 origin. Use OpenSearch Service to store the search data and migrate the PostgreSQL database to an Amazon Aurora PostgreSQL cluster. Run the APIs on AWS App Runner.

Create an Amazon EKS cluster that has a managed node group. Configure the EKS cluster to pull images from the Amazon ECR public repositories for OpenSearch Service, PostgreSQL, and NGINX and from a private repository for the APIs.

Configure AWS App Runner to pull images from the Amazon ECR public repositories for OpenSearch Service, PostgreSQL, and NGINX and from a private repository for the APIs. Deploy the images to App Runner.

Answer:

Explanation:

The company’s goal is to modernize the application while minimizing operational overhead. The current architecture relies heavily on self-managed EC2 instances for web serving, APIs, search, and relational data storage. This increases operational burden related to patching, scaling, availability, and troubleshooting.

Option B replaces self-managed components with fully managed AWS services that are purpose-built for each workload type. Hosting the static web application on Amazon S3 with Amazon CloudFront removes the need to manage web servers such as NGINX and provides global content delivery with built-in scalability and high availability. Migrating the search data to Amazon OpenSearch Service eliminates the need to manage an EC2-based OpenSearch node, providing a managed search service with built-in scaling, patching, and monitoring. Migrating PostgreSQL to Amazon Aurora PostgreSQL removes the operational overhead of managing database instances on EC2 and provides managed backups, high availability, and performance optimizations. Running APIs on AWS App Runner further reduces operational effort by abstracting infrastructure management, scaling, and deployment, allowing the team to focus on application code.

Option A still requires running and operating containerized databases and search engines, which is not recommended and does not significantly reduce operational overhead compared to EC2-based deployments. Databases and OpenSearch are better consumed as managed services rather than as containers.

Option C introduces Amazon EKS, which adds significant operational complexity. Even with managed node groups, Kubernetes requires cluster management, networking configuration, upgrades, and ongoing operational expertise. This contradicts the requirement for the least operational overhead.

Option D attempts to run databases and OpenSearch on AWS App Runner. App Runner is designed for stateless web services and APIs, not for stateful services such as databases or search engines. This architecture is not aligned with AWS best practices and would introduce reliability and operational challenges.

Therefore, using managed services such as Amazon CloudFront, Amazon S3, Amazon OpenSearch Service, Amazon Aurora PostgreSQL, and AWS App Runner provides the most modern architecture with the least operational overhead.

[References:AWS documentation on application modernization best practices using managed services to reduce operational responsibility.AWS documentation on Amazon CloudFront and Amazon S3 for hosting static web applications.AWS documentation on Amazon OpenSearch Service as a managed search and analytics service.AWS documentation on Amazon Aurora PostgreSQL for managed relational databases.AWS documentation on AWS App Runner for running containerized APIs without infrastructure management., ]

Questions 29

A research company conducts mathematical simulations in the AWS Cloud. The simulations run on several hundred Amazon EC2 Linux instances. If a simulation encounters an issue, an engineer establishes an SSH connection to the affected EC2 instance.

Company policy requires that each EC2 instance session is established with a unique SSH key and that all SSH connections are logged in AWS CloudTrail. CloudTrail is enabled for the company’s account and the AWS Regions that the company uses.

Which solution will meet these requirements?

Options:

Answer:

Launch new EC2 instances. Generate an individual SSH key for each new EC2 instance. Store the SSH key in AWS Secrets Manager. Create a new IAM policy. Attach the IAM policy to the engineers' IAM role with an Allow statement for the GetSecretValue action. Instruct the engineers to retrieve the SSH key from Secrets Manager when the engineers connect through any SSH client.

Answer:

Create an AWS Systems Manager document to run commands on EC2 instances to set a new unique SSH key. Create a new IAM policy. Attach the IAM policy to the engineers' IAM role with an Allow statement to run Systems Manager documents. Instruct the engineers to run the document to set an SSH key and to connect through any SSH client.

Answer:

Launch new EC2 instances without setting up any SSH key for the new EC2 instances. Set up EC2 Instance Connect on each new EC2 instance. Create a new IAM policy. Attach the IAM policy to the engineers' IAM role with an Allow statement for the SendSSHPublicKey action. Instruct the engineers to connect to the EC2 instances by using Instance Connect from the AWS CLI.

Answer:

Set up AWS Secrets Manager to store the EC2 SSH key. Create an AWS Lambda function to create a new SSH key and to call AWS Systems Manager Session Manager to set the SSH key on the EC2 instance. Configure Secrets Manager to use the Lambda function to automatically rotate the SSH key once daily. Instruct the engineers to retrieve the SSH key from Secrets Manager when the engineers connect through any SSH client.

Answer:

Comprehensive and Detailed Explanation From Exact Extract:

C is correct because EC2 Instance Connect is designed to provide per-connection, short-lived SSH access without long-lived shared private keys, and it integrates with IAM so access is controlled and auditable. With EC2 Instance Connect, engineers push a public key for a short time window to the target instance using the SendSSHPublicKey API action. This meets the “unique SSH key per session” intent because the key can be generated per session and injected temporarily instead of being a persistent static key. Additionally, the key injection is performed through an AWS API call, which is recorded in AWS CloudTrail, satisfying the logging requirement for SSH access activity.

Why the other options are incorrect:

Answer:

B: Running a Systems Manager document to set keys creates operational overhead and still does not inherently ensure CloudTrail logs of each SSH connection (the SSM Run Command API calls are logged, but the subsequent SSH login over the network is not an AWS API event). It also risks key persistence beyond a single session.

Answer:

D: Daily rotation is not “unique per session,” and it is complex/operationally heavy. Like A, the SSH login itself is not automatically a CloudTrail event; CloudTrail would capture Secrets Manager and SSM API calls, not the network SSH authentication event.

Explanation:

[References:, Amazon EC2 Instance Connect Documentation: SendSSHPublicKey workflow, temporary key injection, IAM-based access control, AWS CloudTrail Documentation: logging of AWS API calls (including EC2 Instance Connect API actions) across Regions, Amazon EC2 Documentation: Linux instance access patterns and key-based authentication options, AWS Certified Solutions Architect – Professional (SAP-C02) Exam Guide: centralized access control, auditability, and scalable operational patterns for large fleets, , ]

Questions 30

A company is running several workloads in a single AWS account. A new company policy states that engineers can provision only approved resources and that engineers must use AWS CloudFormation to provision these resources. A solutions architect needs to create a solution to enforce the new restriction on the IAM role that the engineers use for access.

What should the solutions architect do to create the solution?

Options:

Upload AWS CloudFormation templates that contain approved resources to an Amazon S3 bucket. Update the IAM policy for the engineers' IAM role to only allow access to Amazon S3 and AWS CloudFormation. Use AWS CloudFormation templates to provision resources.

Update the IAM policy for the engineers' IAM role with permissions to only allow provisioning of approved resources and AWS CloudFormation. Use AWS CloudFormation templates to create stacks with approved resources.

Update the IAM policy for the engineers' IAM role with permissions to only allow AWS CloudFormation actions. Create a new IAM policy with permission to provision approved resources, and assign the policy to a new IAM service role. Assign the IAM service role to AWS CloudFormation during stack creation.

Provision resources in AWS CloudFormation stacks. Update the IAM policy for the engineers' IAM role to only allow access to their own AWS CloudFormation stack.

Exam Code: SAP-C02

Certification Provider: Amazon Web Services

Exam Name: AWS Certified Solutions Architect - Professional

Last Update: Apr 7, 2026

Questions: 625

How to Pass SAP-C02 Exams

PDF + Testing Engine
~~$164.99~~ $49.5 Add to Cart

Testing Engine
~~$124.99~~ $37.5 Add to Cart

PDF (Q&A)
~~$104.99~~ $31.5 Add to Cart

Amazon Web Services Related Exams

How to pass Amazon Web Services DOP-C02 - AWS Certified DevOps Engineer - Professional Exam

How to pass Amazon Web Services AIP-C01 - AWS Certified Generative AI Developer - Professional Exam

DVA-C02 - AWS Certified Developer - Associate

GDP-C01 - AWS Certified Generative AI Developer - Professional

MLA-C01 - AWS Certified Machine Learning Engineer - Associate

SOA-C03 - AWS Certified CloudOps Engineer - Associate

SOA-C01 - AWS Certified SysOps Administrator - Associate

SCS-C03 - AWS Certified Security – Specialty

CLF-C02 - AWS Certified Cloud Practitioner

AIF-C01 - AWS Certified AI Practitioner Exam

AXS-C01 - AWS Certified Alexa Skill Builder-Specialty

MLS-C01 - AWS Certified Machine Learning - Specialty

Data-Engineer-Associate - AWS Certified Data Engineer - Associate (DEA-C01)

Get Amazon Web Services Full Access

Amazon Web Services Free Exams
Get free access to Amazon Web Services exam prep materials and practice tests at Examstrack. Achieve your Amazon Web Services certification goals by exploring Examstrack.

Spring Sale Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: 70track

Navigation:

examstrack logo

Hot Vendors:

Free Amazon Web Services SAP-C02 Practice Exam with Questions & Answers | Set: 2

How to Pass SAP-C02 Exams

Amazon Web Services Related Exams

Amazon Web Services Free Exams