Amazon SAA-C02 Online Practice Questions and Exam Preparation

Amazon SAA-C02 Online Questions & Answers

• Question 511:

  A company is launching a new application deployed on an Amazon Elastic Container Service (Amazon ECS) cluster and is using the Fargate launch type for ECS tasks. The company is monitoring CPU and memory usage because it is

  expecting high traffic to the application upon its launch. However, the company wants to reduce costs when utilization decreases.

  What should a solutions architect recommend?

  A. Use Amazon EC2 Auto Scaling to scale at certain periods based on previous traffic patterns.
  B. Use an AWS Lambda function to scale Amazon ECS based on metric breaches that trigger an Amazon CloudWatch alarm.
  C. Use Amazon EC2 Auto Scaling with simple scaling policies to scale when ECS metric breaches trigger an Amazon CloudWatch alarm.
  D. Use AWS Application Auto Scaling with target tracking policies to scale when ECS metric breaches trigger an Amazon CloudWatch alarm.
  C. Use Amazon EC2 Auto Scaling with simple scaling policies to scale when ECS metric breaches trigger an Amazon CloudWatch alarm.

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  Explanation/Reference:

• Question 512:

  A company wants to run a static website served through Amazon CloudFront. What is an advantage of storing the website content in an Amazon S3 bucket instead of an Amazon Elastic Block Store (Amazon EBS) volume?

  A. S3 buckets are replicated globally, allowing for large scalability. EBS volumes are replicated only within an AWS Region.
  B. S3 is an origin for CloudFront. EBS volumes would need EC2 instances behind an Elastic Load Balancing load balancer to be an origin
  C. S3 buckets can be encrypted, allowing for secure storage of the web files. EBS volumes cannot be encrypted.
  D. S3 buckets support object-level read throttling, preventing abuse. EBS volumes do not provide object-level throttling.
  B. S3 is an origin for CloudFront. EBS volumes would need EC2 instances behind an Elastic Load Balancing load balancer to be an origin

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  Explanation/Reference:

  "For static files, store the definitive versions of your files in one or more origin servers. These could be Amazon S3 buckets. For your dynamically generated content that is personalized or customized, you can use Amazon EC2"

• Question 513:

  A company has primary and secondary data centers that are 500 miles (804.7 km) apart and interconnected with high-speed fiber-optic cable. The company needs a highly available and secure network connection between its data centers and a VPC on AWS for a mission-critical workload. A solutions architect must choose a connection solution that provides maximum resiliency.

  Which solution meets these requirements?

  A. Two AWS Direct Connect connections from the primary data center terminating at two Direct Connect locations on two separate devices
  B. A single AWS Direct Connect connection from each of the primary and secondary data centers terminating at one Direct Connect location on the same device
  C. Two AWS Direct Connect connections from each of the primary and secondary data centers terminating at two Direct Connect locations on two separate devices
  D. A single AWS Direct Connect connection from each of the primary and secondary data centers terminating at one Direct Connect location on two separate devices
  C. Two AWS Direct Connect connections from each of the primary and secondary data centers terminating at two Direct Connect locations on two separate devices

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  Explanation/Reference:

• Question 514:

  A company must save ail the email messages that its employees send to customers for a period of 12 months. The messages are stored m a binary format and vary m size from 1 KB to 20 KB. The company has selected Amazon S3 as the storage service for the messages

  Which combination of steps will meet these requirements MOST cost-effectively9 (Select TWO.)

  A. Create an S3 bucket policy that denies the s3 Delete Object action.
  B. Create an S3 lifecycle configuration that deletes the messages after 12 months.
  C. Upload the messages to Amazon S3 Use S3 Object Lock in governance mode
  D. Upload the messages to Amazon S3. Use S3 Object Lock in compliance mode.
  E. Use S3 Inventory Create an AWS Batch job that periodically scans the inventory and deletes the messages after 12 months
  B. Create an S3 lifecycle configuration that deletes the messages after 12 months.
  D. Upload the messages to Amazon S3. Use S3 Object Lock in compliance mode.

• Question 515:

  A company has two applications: a sender application that sends messages with payloads to be processed and a processing application intended to receive the messages with payloads The company wants to implement an AWS service to handle messages between the two applications. The sender application can send about 1,000 messages each hour The messages may take up to 2 days to be processed If the messages fail to process, they must be retained so that they do not impact the processing of any remaining messages

  Which solution meets these requirements and is the MOST operationally efficient?

  A. Set up an Amazon EC2 instance running a Redis database Configure both applications to use the instance Store, process, and delete the messages,respectively
  B. Use an Amazon Kinesis data stream to receive the messages from the sender application Integrate the processing application with the Kinesis Client Library (KCL)
  C. Integrate the sender and processor applications with an Amazon Simple Queue Service (Amazon SQS) queue. Configure a dead-letter queue to collect the messages that failed to process
  D. Subscribe the processing application to an Amazon Simple Notification Service (Amazon SNS) topic to receive notifications to process Integrate the sender application to write to the SNS topic.
  C. Integrate the sender and processor applications with an Amazon Simple Queue Service (Amazon SQS) queue. Configure a dead-letter queue to collect the messages that failed to process

• Question 516:

  A company runs an online marketplace web application on AWS. The application serves hundreds of thousands of users during peak hours. The company needs a scalable, near-real-time solution to share the details of millions of financial transactions with several other internal applications. Transactions also need to be processed to remove sensitive data before being stored in a document database for low-latency retrieval.

  What should a solutions architect recommend to meet these requirements?

  A. Store the transactions data into Amazon DynamoDB. Set up a rule in DynamoDB to remove sensitive data from every transaction upon write. Use DynamoDB Streams to share the transactions data with other applications.
  B. Stream the transactions data into Amazon Kinesis Data Firehose to store data in Amazon DynamoDB and Amazon S3. Use AWS Lambda integration with Kinesis Data Firehose to remove sensitive data. Other applications can consume the data stored in Amazon S3.
  C. Stream the transactions data into Amazon Kinesis Data Streams. Use AWS Lambda integration to remove sensitive data from every transaction and then store the transactions data in Amazon DynamoDB. Other applications can consume the transactions data off the Kinesis data stream.
  D. Store the batched transactions data in Amazon S3 as files. Use AWS Lambda to process every file and remove sensitive data before updating the files in Amazon S3. The Lambda function then stores the data in Amazon DynamoDB. Other applications can consume transaction files stored in Amazon S3.
  C. Stream the transactions data into Amazon Kinesis Data Streams. Use AWS Lambda integration to remove sensitive data from every transaction and then store the transactions data in Amazon DynamoDB. Other applications can consume the transactions data off the Kinesis data stream.

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  Explanation/Reference:

• Question 517:

  A company wants to migrate its web application to AWS. The legacy web application consists of a web tier, an application tier, and a MySQL database. The re-architected application must consist of technologies that do not require the administration team to manage instances or clusters. Which combination of services should a solutions architect include in the overall architecture? (Select TWO)

  A. Amazon Aurora Serverless
  B. Amazon EC2 Spot Instances
  C. Amazon Elasticsearch Service (Amazon ES)
  D. Amazon RDS for MySQL
  E. AWS Fargate
  D. Amazon RDS for MySQL
  E. AWS Fargate

• Question 518:

  A company wants to build an online marketplace application on AWS as a set of loosely coupled microservices. For this application, when a customer submits a new order, two microservices should handle the event simultaneously. The Email

  microservice will send a confirmation email, and the OrderProcessing microservice will start the order delivery process. It a customer cancels an order, the OrderCancelation and Email microservices should handle the event simultaneously.

  A solutions architect wants to use Amazon Simple Queue Service (Amazon SQS) and Amazon Simple Notification Service (Amazon SNS) to design the messaging between the microservices.

  How should the solutions architect design the solution?

  A. Create a single SQS queue and publish order events to it. The Email. OrderProcessing. and Order Cancellation microservices can then consume messages of the queue.
  B. Create three SNS topics for each microservice. Publish order events to the three topics. Subscribe each of the Email. OrderProcessing. and Order Cancellation microservices to its own topic.
  C. Create an SNS topic and publish order events to it. Create three SQS queues for the Email.OrderProcessing. and Order Cancellation microservices. Subscribe all SQS queues to the SNS topic with message filtering
  D. Create two SQS queues and publish order events to both queues simultaneously. One queue is for the Email and OrderProcessing microservices. The second queue is for the Email and Order Cancellation microservices.
  C. Create an SNS topic and publish order events to it. Create three SQS queues for the Email.OrderProcessing. and Order Cancellation microservices. Subscribe all SQS queues to the SNS topic with message filtering

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  Explanation/Reference:

• Question 519:

  A company has designed an application where users provide small sets of textual data by calling a public API The application runs on AWS and includes a public Amazon API Gateway API that forwards requests to an AWS Lambda function

  for processing The Lambda function then writes the data to an Amazon Aurora Serverless database for consumption

  The company is concerned that it could lose some user data it a Lambda function fails to process the request property or reaches a concurrency limit.

  What should a solutions architect recommend to resolve this concern?

  A. Split the existing Lambda function into two Lambda functions Configure one function to receive API Gateway requests and put relevant items into Amazon Simple Queue Service (Amazon SQS) Configure the other function to read items from Amazon SQS and save the data into Aurora
  B. Configure the Lambda function to receive API Gateway requests and write relevant items to Amazon ElastiCache Configure ElastiCache to save the data into Aurora
  C. Increase the memory for the Lambda function Configure Aurora to use the Multi-AZ feature
  D. Split the existing Lambda function into two Lambda functions Configure one function to receive API Gateway requests and put relevant items into Amazon Simple Notification Service (Amazon SNS) Configure the other function to read items from Amazon SNS and save the data into Aurora
  A. Split the existing Lambda function into two Lambda functions Configure one function to receive API Gateway requests and put relevant items into Amazon Simple Queue Service (Amazon SQS) Configure the other function to read items from Amazon SQS and save the data into Aurora

• Question 520:

  A company runs multiple Windows workloads on AWS. The company's employees use Windows the file shares that are hosted on two Amazon EC2 instances. The file shares synchronize data between themselves and maintain duplicate copies. The company wants a highly available and durable storage solution that preserves how users currently access the files.

  A. Migrate all the data to Amazon S3 Set up IAM authentication for users to access files
  B. Set up an Amazon S3 File Gateway. Mount the S3 File Gateway on the existing EC2 Instances.
  C. Extend the file share environment to Amazon FSx for Windows File Server with a Multi- AZ configuration. Migrate all the data to FSx for Windows File Server.
  D. Extend the file share environment to Amazon Elastic File System (Amazon EFS) with a Multi-AZ configuration. Migrate all the data to Amazon EFS.
  C. Extend the file share environment to Amazon FSx for Windows File Server with a Multi- AZ configuration. Migrate all the data to FSx for Windows File Server.