SAA-C03 practice questions 131–140

1. Question 131 · 1017 in bank

   A telemarketing company is designing its customer call center functionality on AWS. The company needs a solution that provides multiple speaker recognition and generates transcript files. The company wants to query the transcript files to analyze the business patterns. The transcript files must be stored for 7 years for auditing purposes. Which solution will meet these requirements?

   • AUse Amazon Rekognition for multiple speaker recognition. Store the transcript files in Amazon S3. Use machine learning models for transcript file analysis.
   • BUse Amazon Transcribe for multiple speaker recognition. Use Amazon Athena for transcript file analysis.
   • CUse Amazon Translate for multiple speaker recognition. Store the transcript files in Amazon Redshift. Use SQL queries for transcript file analysis.
   • DUse Amazon Rekognition for multiple speaker recognition. Store the transcript files in Amazon S3. Use Amazon Textract for transcript file analysis.

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   Answer: B

   Explanation

   The correct answer is B: Use Amazon Transcribe for multiple speaker recognition. Use Amazon Athena for transcript file analysis. Amazon Transcribe is a service that automatically transcribes spoken language into written text. It can handle multiple speakers and can generate transcript files in real-time or asynchronously. These transcript files can be stored in Amazon S3 for long-term storage. Amazon Athena is a query service that allows you to analyze data stored in Amazon S3 using SQL. You can use it to analyze the transcript files and identify patterns in the data. Option A is incorrect because Amazon Rekognition is a service for analyzing images and videos, not transcribing spoken language. Option C is incorrect because Amazon Translate is a service for translating text from one language to another, not transcribing spoken language. Option D is incorrect because Amazon Textract is a service for extracting text and data from documents and images, not transcribing spoken language.

   Source: Adapted from community discussion — Buruguduystunstugudunstuy

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation

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2. Question 132 · 1017 in bank

   A company needs the ability to analyze the log files of its proprietary application. The logs are stored in JSON format in an Amazon S3 bucket. Queries will be simple and will run on-demand. A solutions architect needs to perform the analysis with minimal changes to the existing architecture. What should the solutions architect do to meet these requirements with the LEAST amount of operational overhead?

   • AUse Amazon Redshift to load all the content into one place and run the SQL queries as needed.
   • BUse Amazon CloudWatch Logs to store the logs. Run SQL queries as needed from the Amazon CloudWatch console.
   • CUse Amazon Athena directly with Amazon S3 to run the queries as needed.
   • DUse AWS Glue to catalog the logs. Use a transient Apache Spark cluster on Amazon EMR to run the SQL queries as needed.

   Show answer

   Answer: C

   Explanation

   Answer: C Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL. With a few actions in the AWS Management Console, you can point Athena at your data stored in Amazon S3 and begin using standard SQL to run ad-hoc queries and get results in seconds.

   Source: Adapted from community discussion — airraid2010

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3. Question 133 · 1017 in bank

   A company wants to improve its ability to clone large amounts of production data into a test environment in the same AWS Region. The data is stored in Amazon EC2 instances on Amazon Elastic Block Store (Amazon EBS) volumes. Modifications to the cloned data must not affect the production environment. The software that accesses this data requires consistently high I/O performance. A solutions architect needs to minimize the time that is required to clone the production data into the test environment. Which solution will meet these requirements?

   • ATake EBS snapshots of the production EBS volumes. Restore the snapshots onto EC2 instance store volumes in the test environment.
   • BConfigure the production EBS volumes to use the EBS Multi-Attach feature. Take EBS snapshots of the production EBS volumes. Attach the production EBS volumes to the EC2 instances in the test environment.
   • CTake EBS snapshots of the production EBS volumes. Create and initialize new EBS volumes. Attach the new EBS volumes to EC2 instances in the test environment before restoring the volumes from the production EBS snapshots.
   • DTake EBS snapshots of the production EBS volumes. Turn on the EBS fast snapshot restore feature on the EBS snapshots. Restore the snapshots into new EBS volumes. Attach the new EBS volumes to EC2 instances in the test environment.

   Show answer

   Answer: D

   Explanation

   https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-fast-snapshot-restore.html Amazon EBS fast snapshot restore (FSR) enables you to create a volume from a snapshot that is fully initialized at creation. This eliminates the latency of I/O operations on a block when it is accessed for the first time. Volumes that are created using fast snapshot restore instantly deliver all of their provisioned performance.

   Source: Adapted from community discussion — UWSFish

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation

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4. Question 134 · 1017 in bank

   A company hosts its application on AWS. The company uses Amazon Cognito to manage users. When users log in to the application, the application fetches required data from Amazon DynamoDB by using a REST API that is hosted in Amazon API Gateway. The company wants an AWS managed solution that will control access to the REST API to reduce development efforts. Which solution will meet these requirements with the LEAST operational overhead?

   • AConfigure an AWS Lambda function to be an authorizer in API Gateway to validate which user made the request.
   • BFor each user, create and assign an API key that must be sent with each request. Validate the key by using an AWS Lambda function.
   • CSend the user’s email address in the header with every request. Invoke an AWS Lambda function to validate that the user with that email address has proper access.
   • DConfigure an Amazon Cognito user pool authorizer in API Gateway to allow Amazon Cognito to validate each request.

   Show answer

   Answer: D

   Explanation

   KEYWORD: LEAST operational overhead To control access to the REST API and reduce development efforts, the company can use an Amazon Cognito user pool authorizer in API Gateway. This will allow Amazon Cognito to validate each request and ensure that only authenticated users can access the API. This solution has the LEAST operational overhead, as it does not require the company to develop and maintain any additional infrastructure or code. Therefore, Option D is the correct answer. Option D. Configure an Amazon Cognito user pool authorizer in API Gateway to allow Amazon Cognito to validate each request.

   Source: Adapted from community discussion — Buruguduystunstugudunstuy

   References

   • AWS documentation
   • AWS documentation

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5. Question 135 · 1017 in bank

   A company is developing a marketing communications service that targets mobile app users. The company needs to send confirmation messages with Short Message Service (SMS) to its users. The users must be able to reply to the SMS messages. The company must store the responses for a year for analysis. What should a solutions architect do to meet these requirements?

   • ACreate an Amazon Connect contact flow to send the SMS messages. Use AWS Lambda to process the responses.
   • BBuild an Amazon Pinpoint journey. Configure Amazon Pinpoint to send events to an Amazon Kinesis data stream for analysis and archiving.
   • CUse Amazon Simple Queue Service (Amazon SQS) to distribute the SMS messages. Use AWS Lambda to process the responses.
   • DCreate an Amazon Simple Notification Service (Amazon SNS) FIFO topic. Subscribe an Amazon Kinesis data stream to the SNS topic for analysis and archiving.

   Show answer

   Answer: B

   Explanation

   By using Pinpoint, the company can effectively send SMS messages to its mobile app users. Additionally, Pinpoint allows the configuration of journeys, which enable the tracking and management of user interactions. The events generated during the journey, including user responses to SMS, can be captured and sent to an Kinesis data stream. This data stream can then be used for analysis and archiving purposes. A. Creating an Amazon Connect contact flow is primarily focused on customer support and engagement, and it lacks the capability to store and process SMS responses for analysis. C. Using SQS is a message queuing service and is not specifically designed for handling SMS responses or capturing them for analysis. D. Creating an SNS FIFO topic and subscribing a Kinesis data stream is not the most appropriate solution for capturing and storing SMS responses, as SNS is primarily used for message publishing and distribution. In summary, option B is the best choice as it leverages Pinpoint to send SMS messages and captures user responses for analysis and archiving using an Kinesis data stream.

   Source: Adapted from community discussion — cookieMr

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation

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6. Question 136 · 1017 in bank

   A company is planning to move its data to an Amazon S3 bucket. The data must be encrypted when it is stored in the S3 bucket. Additionally, the encryption key must be automatically rotated every year. Which solution will meet these requirements with the LEAST operational overhead?

   • AMove the data to the S3 bucket. Use server-side encryption with Amazon S3 managed encryption keys (SSE-S3). Use the built-in key rotation behavior of SSE-S3 encryption keys.
   • BCreate an AWS Key Management Service (AWS KMS) customer managed key. Enable automatic key rotation. Set the S3 bucket’s default encryption behavior to use the customer managed KMS key. Move the data to the S3 bucket.
   • CCreate an AWS Key Management Service (AWS KMS) customer managed key. Set the S3 bucket’s default encryption behavior to use the customer managed KMS key. Move the data to the S3 bucket. Manually rotate the KMS key every year.
   • DEncrypt the data with customer key material before moving the data to the S3 bucket. Create an AWS Key Management Service (AWS KMS) key without key material. Import the customer key material into the KMS key. Enable automatic key rotation.

   Show answer

   Answer: A

   Explanation

   KEYWORD: LEAST operational overhead To encrypt the data when it is stored in the S3 bucket and automatically rotate the encryption key every year with the least operational overhead, the company can use server-side encryption with Amazon S3-managed encryption keys (SSE-S3). SSE-S3 uses keys that are managed by Amazon S3, and the built-in key rotation behavior of SSE-S3 encryption keys automatically rotates the keys every year. To meet the requirements of the company, the solutions architect can move the data to the S3 bucket and enable server-side encryption with SSE-S3. This solution requires no additional configuration or maintenance and has the least operational overhead. Hence, the correct answer is; Option A. Move the data to the S3 bucket. Use server-side encryption with Amazon S3-managed encryption keys (SSE-S3). Use the built-in key rotation behavior of SSE-S3 encryption keys.

   Source: Adapted from community discussion — Buruguduystunstugudunstuy

   References

   • AWS documentation
   • repost.aws documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation

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7. Question 137 · 1017 in bank

   The customers of a finance company request appointments with financial advisors by sending text messages. A web application that runs on Amazon EC2 instances accepts the appointment requests. The text messages are published to an Amazon Simple Queue Service (Amazon SQS) queue through the web application. Another application that runs on EC2 instances then sends meeting invitations and meeting confirmation email messages to the customers. After successful scheduling, this application stores the meeting information in an Amazon DynamoDB database. As the company expands, customers report that their meeting invitations are taking longer to arrive. What should a solutions architect recommend to resolve this issue?

   • AAdd a DynamoDB Accelerator (DAX) cluster in front of the DynamoDB database.
   • BAdd an Amazon API Gateway API in front of the web application that accepts the appointment requests.
   • CAdd an Amazon CloudFront distribution. Set the origin as the web application that accepts the appointment requests.
   • DAdd an Auto Scaling group for the application that sends meeting invitations. Configure the Auto Scaling group to scale based on the depth of the SQS queue.

   Show answer

   Answer: D

   Explanation

   Option D. Add an Auto Scaling group for the application that sends meeting invitations. Configure the Auto Scaling group to scale based on the depth of the SQS queue. To resolve the issue of longer delivery times for meeting invitations, the solutions architect can recommend adding an Auto Scaling group for the application that sends meeting invitations and configuring the Auto Scaling group to scale based on the depth of the SQS queue. This will allow the application to scale up as the number of appointment requests increases, improving the performance and delivery times of the meeting invitations.

   Source: Adapted from community discussion — Buruguduystunstugudunstuy

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8. Question 138 · 1017 in bank

   An online retail company has more than 50 million active customers and receives more than 25,000 orders each day. The company collects purchase data for customers and stores this data in Amazon S3. Additional customer data is stored in Amazon RDS. The company wants to make all the data available to various teams so that the teams can perform analytics. The solution must provide the ability to manage fine-grained permissions for the data and must minimize operational overhead. Which solution will meet these requirements?

   • AMigrate the purchase data to write directly to Amazon RDS. Use RDS access controls to limit access.
   • BSchedule an AWS Lambda function to periodically copy data from Amazon RDS to Amazon S3. Create an AWS Glue crawler. Use Amazon Athena to query the data. Use S3 policies to limit access.
   • CCreate a data lake by using AWS Lake Formation. Create an AWS Glue JDBC connection to Amazon RDS. Register the S3 bucket in Lake Formation. Use Lake Formation access controls to limit access.
   • DCreate an Amazon Redshift cluster. Schedule an AWS Lambda function to periodically copy data from Amazon S3 and Amazon RDS to Amazon Redshift. Use Amazon Redshift access controls to limit access.

   Show answer

   Answer: C

   Explanation

   You can manage fine grained using redshift as well - https://aws.amazon.com/blogs/big-data/achieve-fine-grained-data-security-with-row-level-access-control-in-amazon-redshift/ But, I believe the keyword to look for is "minimize operational overhead", which lakeformation does without duplicating much of the data. Redshift is operational overhead and duplication of data. not sure why the answer is D. i vote C as well.

   Source: Adapted from community discussion — markw92

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation

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9. Question 139 · 1017 in bank

   A company hosts a marketing website in an on-premises data center. The website consists of static documents and runs on a single server. An administrator updates the website content infrequently and uses an SFTP client to upload new documents. The company decides to host its website on AWS and to use Amazon CloudFront. The company’s solutions architect creates a CloudFront distribution. The solutions architect must design the most cost-effective and resilient architecture for website hosting to serve as the CloudFront origin. Which solution will meet these requirements?

   • ACreate a virtual server by using Amazon Lightsail. Configure the web server in the Lightsail instance. Upload website content by using an SFTP client.
   • BCreate an AWS Auto Scaling group for Amazon EC2 instances. Use an Application Load Balancer. Upload website content by using an SFTP client.
   • CCreate a private Amazon S3 bucket. Use an S3 bucket policy to allow access from a CloudFront origin access identity (OAI). Upload website content by using the AWS CLI.
   • DCreate a public Amazon S3 bucket. Configure AWS Transfer for SFTP. Configure the S3 bucket for website hosting. Upload website content by using the SFTP client.

   Show answer

   Answer: C

   Explanation

   The question here is whether the solution architect can change the requirement. The requirement says very clear about SFTP which cannot be addressed by option C. But the question also gives very clear hint about OAI which cannot be addressed by option D. Option D also doesn't mention anything about CloudFront which is part of the requirement of the question. So, if the requirement cannot be changed, D is the answer; if the requirement can be changed, C is the answer. But if the requirement can be changed, what's the limitation? That will be a Chaos. I'm voting C, and curse the question designer.

   Source: Adapted from community discussion — bjexamprep

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation

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10. Question 140 · 1017 in bank

    A company wants to manage Amazon Machine Images (AMIs). The company currently copies AMIs to the same AWS Region where the AMIs were created. The company needs to design an application that captures AWS API calls and sends alerts whenever the Amazon EC2 CreateImage API operation is called within the company’s account. Which solution will meet these requirements with the LEAST operational overhead?

    • ACreate an AWS Lambda function to query AWS CloudTrail logs and to send an alert when a CreateImage API call is detected.
    • BConfigure AWS CloudTrail with an Amazon Simple Notification Service (Amazon SNS) notification that occurs when updated logs are sent to Amazon S3. Use Amazon Athena to create a new table and to query on CreateImage when an API call is detected.
    • CCreate an Amazon EventBridge (Amazon CloudWatch Events) rule for the CreateImage API call. Configure the target as an Amazon Simple Notification Service (Amazon SNS) topic to send an alert when a CreateImage API call is detected.
    • DConfigure an Amazon Simple Queue Service (Amazon SQS) FIFO queue as a target for AWS CloudTrail logs. Create an AWS Lambda function to send an alert to an Amazon Simple Notification Service (Amazon SNS) topic when a CreateImage API call is detected.

    Show answer

    Answer: C

    Explanation

    The correct solution is Option C. Creating an Amazon EventBridge (Amazon CloudWatch Events) rule for the CreateImage API call and configuring the target as an Amazon Simple Notification Service (Amazon SNS) topic to send an alert when a CreateImage API call is detected will meet the requirements with the least operational overhead. Amazon EventBridge is a serverless event bus that makes it easy to connect applications together using data from your own applications, integrated Software as a Service (SaaS) applications, and AWS services. By creating an EventBridge rule for the CreateImage API call, the company can set up alerts whenever this operation is called within their account. The alert can be sent to an SNS topic, which can then be configured to send notifications to the company's email or other desired destination. This solution does not require the company to create a Lambda function or query CloudTrail logs, which makes it the most cost-effective and efficient option.

    Source: Adapted from community discussion — Buruguduystunstugudunstuy

    References

    • AWS documentation
    • AWS documentation

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SAA-C03 practice, question 131. 1017 questions available.