SAA-C02 Exam Details

  • Exam Code
    :SAA-C02
  • Exam Name
    :AWS Certified Solutions Architect - Associate (SAA-C02)
  • Certification
    :Amazon Certifications
  • Vendor
    :Amazon
  • Total Questions
    :1080 Q&As
  • Last Updated
    :Jun 04, 2025

Amazon SAA-C02 Online Questions & Answers

  • Question 1001:

    A company stops a cluster of Amazon EC2 instances over a weekend. The costs decrease, but they do not drop to zero Which resources could still be generating costs?

    A. Elastic IP address
    B. Data transfer out
    C. Regional data transfers
    D. Amazon Elastic Block Store (Amazon EBS) volumes
    E. AWS Auto Scaling

  • Question 1002:

    An ecommerce company has noticed performance degradation of its Amazon RDS based web application. The performance degradation is attribute to an increase in the number of read-only SQL queries triggered by business analysts. A

    solution architect needs to solve the problem with minimal changes to the existing web application.

    What should the solution architect recommend?

    A. Export the data to Amazon DynamoDB and have the business analysts run their queries.
    B. Load the data into Amazon ElasticCache and have the business analysts run their queries.
    C. Create a read replica of the primary database and have the business analysts run their queries.
    D. Copy the data into an Amazon Redshift cluster and have the business analysts run their queries.

  • Question 1003:

    A trucking company is deploying an application that will track the GPS coordinates of all the company's trucks The company needs a solution that will generate real-time statistics based on metadata lookups with high read throughput and microsecond latency The database must be fault tolerant and must minimize operational overhead and development effort.

    Which combination of steps should a solutions architect take to meet these requirements? (Select TWO.)

    A. Use Amazon DynamoDB as the database.
    B. Use Amazon Aurora MySQL as the database.
    C. Use Amazon RDS for MySQL as the database.
    D. Use Amazon ElastiCache as the caching layer.
    E. Use Amazon DynamoDB Accelerator (DAX) as the caching layer.

  • Question 1004:

    A company is running a mission-critical application on Amazon EC2 instances henna an Application Load Balancer The instances run in an Auto Scaling group in a single AWS Region The application is using a database in Ama2on Aurora as the data tier. A recent audit revealed that the current deployment of Aurora is not highly available.

    What should a solutions architect do to improve the availability of the database?

    A. Configure an Aurora Replica
    B. Configure storage replication.
    C. Configure storage auto scaling.
    D. Configure cross-Region replication

  • Question 1005:

    A company develops web applications. As part of its development process, the company constantly launches and deletes Application Load Balancers (ALBs) in multiple AWS Regions.

    The company wants to create an allow list on its firewall device. The allow list will contain the IP addresses of an the load balancers. A solutions architect needs a one-line, highly available solution that will accomplish that goal and will help reduce the number of IP addresses that the firewall needs to allow.

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

    A. Create an AWS Lambda function to keep track of the IP addressee tor al the ALBs in different Regions. Keep refreshing this list.
    B. Set up a Network Load Balancer (NLB) with Elastic IP addresses Register the private IP addresses of all the ALBs as targets for the NLB
    C. Launch AWS Global Accelerator Create endpoints for each of the Regions that are m use. Register all the ALBs in the Regions to the corresponding endpoints.
    D. Set up an Amazon EC2 Instance Assign an Elastic IP address to the EC2 instance.Configure the EC2 instance as a proxy to forward traffic to all the ALBs

  • Question 1006:

    A company is building a new data analysis application that will ingest large volumes of data into an Amazon S3 bucket. The company is concerned that sensitive information, such as personally identifiable information (Pll). might be included in some of the data that is ingested. The company needs a solution that will scan for sensitive data and log the findings.

    What should a solutions architect recommend to meet these requirements?

    A. Deploy Amazon Inspector to scan the ingested data Configure Amazon Inspector to log findings to Amazon CloudWatch if Amazon Inspector finds any sensitive data.
    B. Deploy Amazon QuickSight to scan the ingested data. Configure QuickSight to log findings to Amazon CloudWatch if QuickSight finds any sensitive data.
    C. Create a series of AWS Lambda functions to call Amazon GuardDuty to perform scans of the ingested data. If GuardDuty finds any sensitive data, invoke a Lambda function to write findings to Amazon CloudWatch.
    D. Create a series of AWS Lambda functions to call Amazon Macie to perform scans of the ingested data. If Macie finds any sensitive data, invoke a Lambda function to write findings to Amazon CloudWatch.

  • Question 1007:

    company's human resources (HR) department saves its sensitive documents in an Amazon S3 bucket named conf>dential_bucket An 1AM policy grants permission for ail S3 actions to a group of which each HR employee is a member A

    solutions architect needs to make the objects secure and raccessible outside the company's AWS account and on-premises IP CIDR range The solutions architect adds the following S3 bucket policy ( "Version": "2008-10-17", "Statement": [

    { "Effect": "Deny", "Principal": { "AWS": -"Action": "s3:"", "Resource": "arn:aws:s3:::confidential_bucket/*", "Condition": {

    "StringNotLike": {

    "aws:sourceVpce": "vpce-C12345789" }, "NotlpAddress": { "aws:SourceIp": [

    "10.100.0.0/24", "172.31.0.0/24"

    J } }

    } J }

    What is the effect of the added bucket policy?

    A. Option A
    B. Option B
    C. Option C
    D. Option D

  • Question 1008:

    A company is using Amazon DynamoDB with provisioned throughput for the database tier of its ecommerce website. During flash sales, customers experience periods of time when the database cannot handle the high number of transactions taking place. This causes the company to lose transactions During normal periods, the database performs appropriately. Which solution solves the performance problem the company faces?

    A. Switch DynamoDB to on-demand mode during flash sales
    B. Implement DynamoDB Accelerator for fast in memory performance
    C. Use Amazon Kinesis to queue transactions for processing to DynamoDB
    D. Use Amazon Simple Queue Service (Amazon SQS) to queue transactions to DynamoDB

  • Question 1009:

    A user owns a MySQL database that is accessed by various clients who expect, at most, 100 ms latency on requests. Once a record is stored in the database, it is rarely changed. Clients only access one record al a time. Database access has been increasing exponentially due to increased client demand. The resultant load will soon exceed the capacity of the most expensive hardware available for purchase. The user wants to migrate to AWS, and is willing to change database systems.

    Which service would alleviate the database load issue and offer virtually unlimited scalability for the future?

    A. Amazon RDS
    B. Amazon DynamoDB
    C. Amazon Redshift
    D. AWS Data Pipeline

  • Question 1010:

    A company has an on-premises data center that is running out of storage capacity. The company wants to migrate its storage infrastructure to AWS while minimizing bandwidth costs The solution must allow for immediate retrieval of data at no additional cost.

    How can these requirements be met?

    A. Deploy Amazon S3 Glacier Vault and enable expedited retrieval. Enable provisioned retrieval capacity for the workload
    B. Deploy AWS Storage Gateway using cached volumes. Use Storage Gateway to store data in Amazon S3 while retaining copies of frequently accessed data subsets locally.
    C. Deploy AWS Storage Gateway using stored volumes to store data locally. Use Storage Gateway to asynchronously back up point-in-time snapshots of the data to Amazon S3
    D. Deploy AWS Direct Connect to connect with the on-premises data center. Configure AWS Storage Gateway to store data locally. Use Storage Gateway to asynchronously bacK up potnt-tn-time snapshots of the data to Amazon S3.

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