Amazon SAA-C02 Online Practice Questions and Exam Preparation

Amazon SAA-C02 Online Questions & Answers

• Question 161:

  A company is investigating potential solutions that would collect, process, and store users' service usage data

  The business objective is to create an analytics capability that will enable the company to gather operational insights quickly using standard SQL queries. The solution should be highly available and ensure Atomicity, Consistency, Isolation,

  and Durability (ACID) compliance in the data tier.

  Which solution should a solutions architect recommend?

  A. Use Amazon DynamoDB transactions
  B. Create an Amazon Neptune database in a Multi AZ design
  C. Use a fully managed Amazon RDS for MySQL database in a Multi-AZ design
  D. Deploy PostgreSQL on an Amazon EC2 instance that uses Amazon EBS Throughput Optimized HDD (st1) storage.
  C. Use a fully managed Amazon RDS for MySQL database in a Multi-AZ design

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  Explanation/Reference:

• Question 162:

  A company is planning to migrate a legacy application to AWS. The application currently uses NFS to communicate to an on-premises storage solution to store application data The application cannot be modified to use any other communication protocols other than NFS for this purpose. Which storage solution should a solutions architect recommend for use after the migration?

  A. AWS DataSync
  B. Amazon Elastic Block Store (Amazon EBS)
  C. Amazon Elastic File System (Amazon EFS)
  D. Amazon EMR File System (Amazon EMRFS)
  C. Amazon Elastic File System (Amazon EFS)

• Question 163:

  A company stores call recordings on a monthly basis Statistically, the recorded data may be referenced randomly within a year but accessed rarely after 1 year Files that are newer than 1 year old must be queried and retrieved as quickly as possible. A delay in retrieving older files is acceptable A solutions architect needs to store the recorded data at a minimal cost Which solution is MOST cost-effective?

  A. Store individual files in Amazon S3 Glacier and store search metadata in object tags created in S3 Glacier Query S3 Glacier tags and retrieve the files from S3 Glacier
  B. Store individual files in Amazon S3 Use lifecycle policies to move the files to Amazon S3 Glacier after 1 year. Query and retrieve the files from Amazon S3 or S3 Glacier.
  C. Archive individual files and store search metadata for each archive in Amazon S3 Use lifecycle policies to move the files to Amazon S3 Glacier after 1 year Query and retrieve the files by searching for metadata from Amazon S3
  D. Archive individual files in Amazon S3 Use lifecycle policies to move the files to Amazon S3 Glacier after 1 year Store search metadata in Amazon DynamoDB Query the files from DynamoDB and retrieve them from Amazon S3 or S3 Glacier
  B. Store individual files in Amazon S3 Use lifecycle policies to move the files to Amazon S3 Glacier after 1 year. Query and retrieve the files from Amazon S3 or S3 Glacier.

• Question 164:

  A company has an application that uses Amazon Elastic File System (Amazon EFS) to store data The files are 1 GB in size or larger and are accessed often only tor the first few days after creation The application data is shared across a cluster of Linux servers. The company wants to reduce storage costs tor the application

  What should a solutions architect do to meet these requirements?

  A. Implement Amazon FSx and mount the network drive on each server.
  B. Move the fees from Amazon EFS and store them locally on each Amazon EC2 instance.
  C. Configure a Lifecycle policy to move the files to the EFS Infrequent Access (IA) swage class after 7 days,
  D. Move the files to Amazon S3 with S3 lifecycle policies enabled. Rewrite the application to support mounting the S3 bucket.
  C. Configure a Lifecycle policy to move the files to the EFS Infrequent Access (IA) swage class after 7 days,

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  Explanation/Reference:

• Question 165:

  A company recently deployed a two-tier application in two Availability Zones in the us-east-1 Region. The databases are deployed in a private subnet while the web servers are deployed in a public subnet. An internet gateway is attached to

  the VPC. The application and database run on Amazon EC2 instances. The database servers are unable to access patches on the internet. A solutions architect needs to design a solution that maintains database security with the least

  operational overhead.

  Which solution meets these requirements?

  A. Deploy a NAT gateway inside the public subnet for each Availability Zone and associate it with an Elastic IP address. Update the routing table of the private subnet to use it as the default route.
  B. Deploy a NAT gateway inside the private subnet for each Availability Zone and associate it with an Elastic IP address. Update the routing table of the private subnet to use it as the default route.
  C. Deploy two NAT instances inside the public subnet for each Availability Zone and associate them with Elastic IP addresses. Update the routing table of the private subnet to use it as the default route.
  D. Deploy two NAT instances inside the private subnet for each Availability Zone and associate them with Elastic IP addresses. Update the routing table of the private subnet to use it as the default route.
  A. Deploy a NAT gateway inside the public subnet for each Availability Zone and associate it with an Elastic IP address. Update the routing table of the private subnet to use it as the default route.

• Question 166:

  An application runs on Amazon EC2 instances across multiple Availability Zones The instances run in an Amazon EC2 Auto Scaling group behind an Application Load Balancer The application performs best when the CPU utilization of the EC2 instances is at or near 40%.

  What should a solutions architect do to maintain the desired performance across all instances m the group?

  A. Use a simple scaling policy to dynamically scale the Auto Scaling group
  B. Use a target tracking policy to dynamically scale the Auto Scaling group
  C. Use an AWS Lambda function to update the desired Auto Scaling group capacity
  D. Use scheduled scaling actions to scale up and scale down the Auto Scaling group
  B. Use a target tracking policy to dynamically scale the Auto Scaling group

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  Explanation/Reference:

  Reference: https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scaling-target-tracking.html

  "With target tracking scaling policies, you select a scaling metric and set a target value. Amazon EC2 Auto Scaling creates and manages the CloudWatch alarms that trigger the scaling policy and calculates the scaling adjustment based on the metric and the target value. The scaling policy adds or removes capacity as required to keep the metric at, or close to, the specified target value. In addition to keeping the metric close to the target value, a target tracking scaling policy also adjusts to changes in the metric due to a changing load pattern. For example, you can use target tracking scaling to: Configure a target tracking scaling policy to keep the average aggregate CPU utilization of your Auto Scaling group at 40 percent. Configure a target tracking scaling policy to keep the request count per target of your Application Load Balancer target group at 1000 for your Auto Scaling group."

• Question 167:

  A company built an application with Docker containers and needs to run the application in the AWS Cloud. The company wants to use a managed service to host the application.

  The solution must scale in and out appropriately according to demand on the individual container services. The solution also must not result in additional operational overhead or infrastructure to manage. Which solutions will meet these requirements? (Select TWO.)

  A. Use Amazon Elastic Container Service (Amazon ECS) with AWS Fargate.
  B. Use Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate.
  C. Provision an Amazon API Gateway API. Connect the API to AWS Lambda to run the containers.
  D. Use Amazon Elastic Container Service (Amazon ECS) with Amazon EC2 worker nodes.
  E. Use Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 worker nodes.
  A. Use Amazon Elastic Container Service (Amazon ECS) with AWS Fargate.
  B. Use Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate.

• Question 168:

  A company is using Amazon S3 as its local repository for weekly analysis reports One of the company- wide requirements is to secure data at rest using encryption. The company chooses Amazon 53 server-side encryption (SSE) how can the object be decrypted when a GET request is issued?

  A. the user needs a Put request to decrypt the object
  B. The user needs to decrypt the object using a private Key
  C. Amazon S3 manages encryption and decryption automatically
  D. Amazon S3 provides a server-side key for decrypting the object
  D. Amazon S3 provides a server-side key for decrypting the object

• Question 169:

  A company has a data ingestion workflow that consists the following:

  An Amazon Simple Notification Service (Amazon SNS) topic for notifications about new data deliveries An AWS Lambda function to process the data and record metadata The company observes that the ingestion workflow fails occasionally

  because of network connectivity issues.

  When such a failure occurs, the Lambda function does not ingest the corresponding data unless the company manually reruns the job.

  Which combination of actions should a solutions architect take to ensure that the Lambda function ingests all data in the future? (Select TWO.)

  A. Configure the Lambda function In multiple Availability Zones.
  B. Create an Amazon Simple Queue Service (Amazon SQS) queue, and subscribe It to me SNS topic.
  C. Increase the CPU and memory that are allocated to the Lambda function.
  D. Increase provisioned throughput for the Lambda function.
  E. Modify the Lambda function to read from an Amazon Simple Queue Service (Amazon SQS) queue
  B. Create an Amazon Simple Queue Service (Amazon SQS) queue, and subscribe It to me SNS topic.
  E. Modify the Lambda function to read from an Amazon Simple Queue Service (Amazon SQS) queue

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  Explanation/Reference:

• Question 170:

  A company is designing a message-driven order processing application on AWS. The application consists of many services and needs to communicate the results of its processing to multiple consuming services. Each of the consuming services may take up to 5 days to receive the messages

  Which process will meet these requirements?

  A. The application sends the results of its processing to an Amazon Simple Notification Service (Amazon SNS) topic Each consuming service subscribes to this SNS topic and consumes the results
  B. The application sends the results of its processing to an Amazon Simple Notification Service (Amazon SNS) topic Each consuming service consumes the messages directly from its corresponding SNS topic.
  C. The application sends the results of its processing to an Amazon Simple Queue Service (Amazon SQS) queue Each consuming service runs as an AWS Lambda function that consumes this single SQS queue.
  D. The application sends the results of its processing to an Amazon Simple Notification Service (Amazon SNS) topic. An Amazon Simple Queue Service (Amazon SQS) queue is created for each service and each queue is configured to be a subscriber of the SNS topic.
  C. The application sends the results of its processing to an Amazon Simple Queue Service (Amazon SQS) queue Each consuming service runs as an AWS Lambda function that consumes this single SQS queue.