Pinpoint Amazon-Web-Services SAA-C03 Practice Online

NEW QUESTION 1

A company runs a website that stores images of historical events. Website users need the ability to search and view images based on the year that the event in the image occurred. On average, users request each image only once or twice a year The company wants a highly available solution to store and deliver the images to users.
Which solution will meet these requirements MOST cost-effectively?

• A. Store images in Amazon Elastic Block Store (Amazon EBS). Use a web server that runs on Amazon EC2_
• B. Store images in Amazon Elastic File System (Amazon EFS). Use a web server that runs on Amazon EC2.
• C. Store images in Amazon S3 Standar
• D. use S3 Standard to directly deliver images by using a static website.
• E. Store images in Amazon S3 Standard-InfrequentAccess (S3 Standard-IA). use S3 Standard-IA to directly deliver images by using a static website.

Answer: C

Explanation:
it allows the company to store and deliver images to users in a highly available and cost-effective way. By storing images in Amazon S3 Standard, the company can use a durable, scalable, and secure object storage service that offers high availability and performance. By using S3 Standard to directly deliver images by using a static website, the company can avoid running web servers and reduce operational overhead. S3 Standard also offers low storage pricing and free data transfer within AWS Regions. References:
✑ Amazon S3 Storage Classes
✑ Hosting a Static Website on Amazon S3

NEW QUESTION 2

A company wants to use high-performance computing and artificial intelligence to improve its fraud prevention and detection technology. The company requires distributed processing to complete a single workload as quickly as possible.
Which solution will meet these requirements?

• A. Use Amazon Elastic Kubernetes Service (Amazon EKS) and multiple containers.
• B. Use AWS ParallelCluster and the Message Passing Interface (MPI) libraries.
• C. Use an Application Load Balancer and Amazon EC2 instances.
• D. Use AWS Lambda functions.

Answer: B

Explanation:
AWS ParallelCluster is a service that allows you to create and manage high- performance computing (HPC) clusters on AWS. It supports multiple schedulers, including AWS Batch, which can run distributed workloads across multiple EC2 instances1.
MPI is a standard for message passing between processes in parallel computing. It provides functions for sending and receiving data, synchronizing processes, and managing communication groups2.
By using AWS ParallelCluster and MPI libraries, you can take advantage of the following benefits:
✑ You can easily create and configure HPC clusters that meet your specific requirements, such as instance type, number of nodes, network configuration, and storage options1.
✑ You can leverage the scalability and elasticity of AWS to run large-scale parallel
workloads without worrying about provisioning or managing servers1.
✑ You can use MPI libraries to optimize the performance and efficiency of your parallel applications by enabling inter-process communication and data exchange2.
✑ You can choose from a variety of MPI implementations that are compatible with AWS ParallelCluster, such as Open MPI, Intel MPI, and MPICH3.

NEW QUESTION 3

A company is deploying a new application on Amazon EC2 instances. The application writes data to Amazon Elastic Block Store (Amazon EBS) volumes. The company needs to ensure that all data that is written to the EBS volumes is encrypted at rest.
Which solution wil meet this requirement?

• A. Create an IAM role that specifies EBS encryptio
• B. Attach the role to the EC2 instances.
• C. Create the EBS volumes as encrypted volumes Attach the EBS volumes to the EC2 instances.
• D. Create an EC2 instance tag that has a key of Encrypt and a value of Tru
• E. Tag all instances that require encryption at the ESS level.
• F. Create an AWS Key Management Service (AWS KMS) key policy that enforces EBS encryption in the account Ensure that the key policy is active.

Answer: B

Explanation:
The solution that will meet the requirement of ensuring that all data that is written to the EBS volumes is encrypted at rest is B. Create the EBS volumes as encrypted volumes and attach the encrypted EBS volumes to the EC2 instances. When you create an EBS volume, you can specify whether to encrypt the volume. If you choose to encrypt the volume, all data written to the volume is automatically encrypted at rest using AWS-managed keys. You can also use customer-managed keys (CMKs) stored in AWS KMS to encrypt and protect your EBS volumes. You can create encrypted EBS volumes and attach them to EC2 instances to ensure that all data written to the volumes is encrypted at rest.

NEW QUESTION 4

A company has an on-premises MySQL database that handles transactional data. The company is migrating the database to the AWS Cloud. The migrated database must maintain compatibility with the company's applications that use the database. The migrated database also must scale automatically during periods of increased demand.
Which migration solution will meet these requirements?

• A. Use native MySQL tools to migrate the database to Amazon RDS for MySQ
• B. Configureelastic storage scaling.
• C. Migrate the database to Amazon Redshift by using the mysqldump utilit
• D. Turn on Auto Scaling for the Amazon Redshift cluster.
• E. Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon Auror
• F. Turn on Aurora Auto Scaling.
• G. Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon DynamoD
• H. Configure an Auto Scaling policy.

Answer: C

Explanation:
To migrate a MySQL database to AWS with compatibility and scalability, Amazon Aurora is a suitable option. Aurora is compatible with MySQL and can scale automatically with Aurora Auto Scaling. AWS Database Migration Service (AWS DMS) can be used to migrate the database from on-premises to Aurora with minimal downtime. References:
✑ What Is Amazon Aurora?
✑ Using Amazon Aurora Auto Scaling with Aurora Replicas
✑ What Is AWS Database Migration Service?

NEW QUESTION 5

A company has an AWS Glue extract. transform, and load (ETL) job that runs every day at the same time. The job processes XML data that is in an Amazon S3 bucket.
New data is added to the S3 bucket every day. A solutions architect notices that AWS Glue is processing all the data during each run.
What should the solutions architect do to prevent AWS Glue from reprocessing old data?

• A. Edit the job to use job bookmarks.
• B. Edit the job to delete data after the data is processed
• C. Edit the job by setting the NumberOfWorkers field to 1.
• D. Use a FindMatches machine learning (ML) transform.

Answer: C

Explanation:
This is the purpose of bookmarks: "AWS Glue tracks data that has already been processed during a previous run of an ETL job by persisting state information from the job run. This persisted state information is called a job bookmark. Job bookmarks help AWS Glue maintain state information and prevent the reprocessing of old data." https://docs.aws.amazon.com/glue/latest/dg/monitor-continuations.html

NEW QUESTION 6

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?

• A. Configure an AWS Lambda function to be an authorize! in API Gateway to validate which user made the request
• B. For each user, create and assign an API key that must be sent with each request Validate the key by using an AWS Lambda function
• C. Send 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
• D. Configure an Amazon Cognito user pool authorizer in API Gateway to allow Amazon Cognito to validate each request

Answer: D

Explanation:
https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-integrate-with-cognito.html
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.

NEW QUESTION 7

A company provides an online service for posting video content and transcoding it for use by any mobile platform. The application architecture uses Amazon Elastic File System (Amazon EFS) Standard to collect and store the videos so that multiple Amazon EC2 Linux instances can access the video content for processing As the popularity of the service has grown over time, the storage costs have become too expensive.
Which storage solution is MOST cost-effective?

• A. Use AWS Storage Gateway for files to store and process the video content
• B. Use AWS Storage Gateway for volumes to store and process the video content
• C. Use Amazon EFS for storing the video content Once processing is complete transfer the files to Amazon Elastic Block Store (Amazon EBS)
• D. Use Amazon S3 for storing the video content Move the files temporarily over to an Amazon Elastic Block Store (Amazon EBS) volume attached to the server for processing

Answer: D

Explanation:
• Amazon S3 for large-scale, durable, and inexpensive storage of the video content. S3 storage costs are significantly lower than EFS. • Amazon EBS only temporarily during processing. By mounting an EBS volume only when a video needs to be processed, and unmounting it after, the time the content spends on the higher-cost EBS storage is minimized. • The EBS volume can be sized to match the workload needs for active processing, keeping costs lower. The volume does not need to store the entire video library long-term.

NEW QUESTION 8

A company wants to host a scalable web application on AWS. The application will be accessed by users from different geographic regions of the world. Application users will be able to download and upload unique data up to gigabytes in size. The development team wants a cost-effective solution to minimize upload and download latency and maximize performance.
What should a solutions architect do to accomplish this?

• A. Use Amazon S3 with Transfer Acceleration to host the application.
• B. Use Amazon S3 with CacheControl headers to host the application.
• C. Use Amazon EC2 with Auto Scaling and Amazon CloudFront to host the application.
• D. Use Amazon EC2 with Auto Scaling and Amazon ElastiCache to host the application.

Answer: C

Explanation:
This answer is correct because it meets the requirements of hosting a scalable web application that can handle large data transfers from different geographic regions. Amazon EC2 provides scalable compute capacity for hosting web applications. Auto Scaling can automatically adjust the number of EC2 instances based on the demand and traffic patterns. Amazon CloudFront is a content delivery network (CDN) that can cache static and dynamic content at edge locations closer to the users, reducing latency and improving performance. CloudFront can also use S3 Transfer Acceleration to speed up the transfers between S3 buckets and CloudFront edge locations.
References:
✑ https://docs.aws.amazon.com/autoscaling/ec2/userguide/what-is-amazon-ec2- auto-scaling.html
✑ https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/Introducti on.html
✑ https://aws.amazon.com/s3/transfer-acceleration/

NEW QUESTION 9

A company needs to save the results from a medical trial to an Amazon S3 repository. The repository must allow a few scientists to add new files and must restrict all other users to read-only access. No users can have the ability to modify or delete any files in the repository. The company must keep every file in the repository for a minimum of 1 year after its creation date.
Which solution will meet these requirements?

• A. Use S3 Object Lock In governance mode with a legal hold of 1 year
• B. Use S3 Object Lock in compliance mode with a retention period of 365 days.
• C. Use an IAM role to restrict all users from deleting or changing objects in the S3 bucket Use an S3 bucket policy to only allow the IAM role
• D. Configure the S3 bucket to invoke an AWS Lambda function every tune an object is added Configure the function to track the hash of the saved object to that modified objects can be marked accordingly

Answer: B

Explanation:
In compliance mode, a protected object version can't be overwritten or deleted by any user, including the root user in your AWS account. When an object is locked in compliance mode, its retention mode can't be changed, and its retention period can't be shortened. Compliance mode helps ensure that an object version can't be overwritten or deleted for the duration of the retention period. In governance mode, users can't overwrite or delete an object version or alter its lock settings unless they have special permissions. With governance mode, you protect objects against being deleted by most users, but you can still grant some users permission to alter the retention settings or delete the object if necessary. In Governance mode, Objects can be deleted by some users with special permissions, this is against the requirement.
Compliance:
- Object versions can't be overwritten or deleted by any user, including the root user
- Objects retention modes can't be changed, and retention periods can't be shortened
Governance:
- Most users can't overwrite or delete an object version or alter its lock settings
- Some users have special permissions to change the retention or delete the object

NEW QUESTION 10

A company is hosting a static website on Amazon S3 and is using Amazon Route 53 for DNS. The website is experiencing increased demand from around the world. The company must decrease latency for users who access the website.
Which solution meets these requirements MOST cost-effectively?

• A. Replicate the S3 bucket that contains the website to all AWS Region
• B. Add Route 53 geolocation routing entries.
• C. Provision accelerators in AWS Global Accelerato
• D. Associate the supplied IP addresses with the S3 bucke
• E. Edit the Route 53 entries to point to the IP addresses of the accelerators.
• F. Add an Amazon CloudFront distribution in front of the S3 bucke
• G. Edit the Route 53 entries to point to the CloudFront distribution.
• H. Enable S3 Transfer Acceleration on the bucke
• I. Edit the Route 53 entries to point to the new endpoint.

Answer: C

Explanation:
Amazon CloudFront is a content delivery network (CDN) that caches content at edge locations around the world, providing low latency and high transfer speeds to users accessing the content. Adding a CloudFront distribution in front of the S3 bucket will cache the static website's content at edge locations around the world, decreasing latency for users accessing the website. This solution is also cost-effective as it only charges for the data transfer and requests made by users accessing the content from the CloudFront edge locations. Additionally, this solution provides scalability and reliability benefits as CloudFront can automatically scale to handle increased demand and provide high availability for the website.

NEW QUESTION 11

A company has thousands of edge devices that collectively generate 1 TB of status alerts each day. Each alert is approximately 2 KB in size. A solutions architect needs to implement a solution to ingest and store the alerts for future analysis.
The company wants a highly available solution. However, the company needs to minimize costs and does not want to manage additional infrastructure. Ad ditionally, the company wants to keep 14 days of data available for immediate analysis and archive any data older than 14 days.
What is the MOST operationally efficient solution that meets these requirements?

• A. Create an Amazon Kinesis Data Firehose delivery stream to ingest the alerts Configure the Kinesis Data Firehose stream to deliver the alerts to an Amazon S3 bucket Set up an S3 Lifecycle configuration to transition data to Amazon S3 Glacier after 14 days
• B. Launch Amazon EC2 instances across two Availability Zones and place them behind an Elastic Load Balancer to ingest the alerts Create a script on the EC2 instances that will store tne alerts m an Amazon S3 bucket Set up an S3 Lifecycle configuration to transition data to Amazon S3 Glacier after 14 days
• C. Create an Amazon Kinesis Data Firehose delivery stream to ingest the alerts Configure the Kinesis Data Firehose stream to deliver the alerts to an Amazon Elasticsearch Service (Amazon ES) duster Set up the Amazon ES cluster to take manual snapshots every day and delete data from the duster that is older than 14 days
• D. Create an Amazon Simple Queue Service (Amazon SQS i standard queue to ingest the alerts and set the message retention period to 14 days Configure consumers to poll the SQS queue check the age of the message and analyze the message data as needed If the message is 14 days old the consumer should copy the message to an Amazon S3 bucketand delete the message from the SQS queue

Answer: A

Explanation:
https://aws.amazon.com/kinesis/data-firehose/features/?nc=sn&loc=2#:~:text=into%20Amazon%20S3%2C%20Amazon%20Redshift%2C%20Amazon%20OpenSearch%20Service%2C%20Kinesis,Delivery%20streams

NEW QUESTION 12

A company is implementing a shared storage solution for a media application that is hosted m the AWS Cloud The company needs the ability to use SMB clients to access data The solution must he fully managed.
Which AWS solution meets these requirements?

• A. Create an AWS Storage Gateway volume gatewa
• B. Create a file share that uses the required client protocol Connect the application server to the file share.
• C. Create an AWS Storage Gateway tape gateway Configure (apes to use Amazon S3 Connect the application server lo the tape gateway
• D. Create an Amazon EC2 Windows instance Install and configure a Windows file share role on the instanc
• E. Connect the application server to the file share.
• F. Create an Amazon FSx for Windows File Server tile system Attach the fie system to the origin serve
• G. Connect the application server to the file system

Answer: D

Explanation:
https://aws.amazon.com/fsx/lustre/
Amazon FSx has native support for Windows file system features and for the industry- standard Server Message Block (SMB) protocol to access file storage over a network. https://docs.aws.amazon.com/fsx/latest/WindowsGuide/what-is.html

NEW QUESTION 13

A company wants to migrate its MySQL database from on premises to AWS. The company recently experienced a database outage that significantly impacted the business. To ensure this does not happen again, the company wants a reliable database solution on AWS that minimizes data loss and stores every transaction on at least two nodes.
Which solution meets these requirements?

• A. Create an Amazon RDS DB instance with synchronous replication to three nodes in three Availability Zones.
• B. Create an Amazon RDS MySQL DB instance with Multi-AZ functionality enabled to synchronously replicate the data.
• C. Create an Amazon RDS MySQL DB instance and then create a read replica in a separate AWS Region that synchronously replicates the data.
• D. Create an Amazon EC2 instance with a MySQL engine installed that triggers an AWS Lambda function to synchronously replicate the data to an Amazon RDS MySQL DB instance.

Answer: B

Explanation:
Q: What does Amazon RDS manage on my behalf?
Amazon RDS manages the work involved in setting up a relational database: from provisioning the infrastructure capacity you request to installing the database software. Once your database is up and running, Amazon RDS automates common administrative tasks such as performing backups and patching the software that powers your database. With optional Multi-AZ deployments, Amazon RDS also manages synchronous data replication across Availability Zones with automatic failover. https://aws.amazon.com/rds/faqs/

NEW QUESTION 14

A company is designing an application where users upload small files into Amazon S3. After a user uploads a file, the file requires one-time simple processing to transform the data and save the data in JSON format for later analysis.
Each file must be processed as quickly as possible after it is uploaded. Demand will vary. On some days, users will upload a high number of files. On other days, users will upload a few files or no files.
Which solution meets these requirements with the LEAST operational overhead?

• A. Configure Amazon EMR to read text files from Amazon S3. Run processing scripts to transform the dat
• B. Store the resulting JSON file in an Amazon Aurora DB cluster.
• C. Configure Amazon S3 to send an event notification to an Amazon Simple Queue Service (Amazon SQS) queu
• D. Use Amazon EC2 instances to read from the queue and process the dat
• E. Store the resulting JSON file in Amazon DynamoDB.
• F. Configure Amazon S3 to send an event notification to an Amazon Simple Queue Service (Amazon SQS) queu
• G. Use an AWS Lambda function to read from the queue and process the dat
• H. Store the resulting JSON file in Amazon DynamoD
• I. Most Voted
• J. Configure Amazon EventBridge (Amazon CloudWatch Events) to send an event to Amazon Kinesis Data Streams when a new file is uploade
• K. Use an AWS Lambda function to consume the event from the stream and process the dat
• L. Store the resulting JSON file in Amazon Aurora DB cluster.

Answer: C

Explanation:
Amazon S3 sends event notifications about S3 buckets (for example, object created, object removed, or object restored) to an SNS topic in the same Region.
The SNS topic publishes the event to an SQS queue in the central Region.
The SQS queue is configured as the event source for your Lambda function and buffers the event messages for the Lambda function.
The Lambda function polls the SQS queue for messages and processes the Amazon S3 event notifications according to your application’s requirements.
https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/subscribe-a-lambda- function-to-event-notifications-from-s3-buckets-in-different-aws-regions.html

NEW QUESTION 15

A company hosts a data lake on AWS. The data lake consists of data in Amazon S3 and Amazon RDS for PostgreSQL. The company needs a reporting solution that provides data visualization and includes all the data sources within the data lake. Only the company's management team should have full access to all the visualizations. The rest of the company should have only limited access.
Which solution will meet these requirements?

• A. Create an analysis in Amazon QuickSigh
• B. Connect all the data sources and create new dataset
• C. Publish dashboards to visualize the dat
• D. Share the dashboards with the appropriate IAM roles.
• E. Create an analysis in Amazon OuickSigh
• F. Connect all the data sources and create new dataset
• G. Publish dashboards to visualize the dat
• H. Share the dashboards with the appropriate users and groups.
• I. Create an AWS Glue table and crawler for the data in Amazon S3. Create an AWS Glue extract, transform, and load (ETL) job to produce report
• J. Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.
• K. Create an AWS Glue table and crawler for the data in Amazon S3. Use Amazon Athena Federated Query to access data within Amazon RDS for PoslgreSQ
• L. Generate reports by using Amazon Athen
• M. Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.

Answer: B

Explanation:
Amazon QuickSight is a data visualization service that allows you to create interactive dashboards and reports from various data sources, including Amazon S3 and Amazon RDS for PostgreSQL. You can connect all the data sources and create new datasets in QuickSight, and then publish dashboards to visualize the data. You can also share the dashboards with the appropriate users and groups, and control their access levels using IAM roles and permissions.
Reference: https://docs.aws.amazon.com/quicksight/latest/user/working-with-data-sources.html

NEW QUESTION 16

A company runs a web-based portal that provides users with global breaking news, local alerts, and weather updates. The portal delivers each user a personalized view by using mixture of static and dynamic content. Content is served over HTTPS through an API server running on an Amazon EC2 instance behind an Application Load Balancer (ALB). The company wants the portal to provide this content to its users across the world as quickly as possible.
How should a solutions architect design the application to ensure the LEAST amount of latency for all users?

• A. Deploy the application stack in a single AWS Regio
• B. Use Amazon CloudFront to serve all static and dynamic content by specifying the ALB as an origin.
• C. Deploy the application stack in two AWS Region
• D. Use an Amazon Route 53 latency routing policy to serve all content from the ALB in the closest Region.
• E. Deploy the application stack in a single AWS Regio
• F. Use Amazon CloudFront to serve the static conten
• G. Serve the dynamic content directly from the ALB.
• H. Deploy the application stack in two AWS Region
• I. Use an Amazon Route 53 geolocation routing policy to serve all content from the ALB in the closest Region.

Answer: A

Explanation:
https://aws.amazon.com/blogs/networking-and-content-delivery/deliver-your-apps-dynamic-content-using-amazon-cloudfront-getting-started-template/

NEW QUESTION 17

A company is developing a file-sharing application that will use an Amazon S3 bucket for storage. The company wants to serve all the files through an Amazon CloudFront distribution. The company does not want the files to be accessible through direct navigation to the S3 URL.
What should a solutions architect do to meet these requirements?

• A. Write individual policies for each S3 bucket to grant read permission for only CloudFront access.
• B. Create an IAM use
• C. Grant the user read permission to objects in the S3 bucke
• D. Assign the user to CloudFront.
• E. Write an S3 bucket policy that assigns the CloudFront distribution ID as the Principal and assigns the target S3 bucket as the Amazon Resource Name (ARN).
• F. Create an origin access identity (OAI). Assign the OAI to the CloudFront distributio
• G. Configure the S3 bucket permissions so that only the OAI has read permission.

Answer: D

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/cloudfront-access-to-amazon- s3/
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content- restricting-access-to-s3.html#private-content-restricting-access-to-s3-overview

NEW QUESTION 18

An image hosting company uploads its large assets to Amazon S3 Standard buckets The company uses multipart upload in parallel by using S3 APIs and overwrites if the same object is uploaded again. For the first 30 days after upload, the objects will be accessed frequently. The objects will be used less frequently after 30 days, but the access patterns for each object will be inconsistent The company must optimize its S3 storage costs while maintaining high availability and resiliency of stored assets.
Which combination of actions should a solutions architect recommend to meet these requirements? (Select TWO.)

• A. Move assets to S3 Intelligent-Tiering after 30 days.
• B. Configure an S3 Lifecycle policy to clean up incomplete multipart uploads.
• C. Configure an S3 Lifecycle policy to clean up expired object delete markers.
• D. Move assets to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days
• E. Move assets to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 30 days.

Answer: AB

Explanation:
S3 Intelligent-Tiering is a storage class that automatically moves data to the most cost-effective access tier based on access frequency, without performance impact, retrieval fees, or operational overhead1. It is ideal for data with unknown or changing access patterns, such as the company’s assets. By moving assets to S3 Intelligent-Tiering after 30 days, the company can optimize its storage costs while maintaining high availability and resilience of stored assets.
S3 Lifecycle is a feature that enables you to manage your objects so that they are stored cost effectively throughout their lifecycle2. You can create lifecycle rules to define actions that Amazon S3 applies to a group of objects. One of the actions is to abort incomplete multipart uploads that can occur when an upload is interrupted. By configuring an S3 Lifecycle policy to clean up incomplete multipart uploads, the company can reduce its storage costs and avoid paying for parts that are not used.
Option C is incorrect because expired object delete markers are automatically deleted by Amazon S3 and do not incur any storage costs3. Therefore, configuring an S3 Lifecycle policy to clean up expired object delete markers will not have any effect on the company’s storage costs.
Option D is incorrect because S3 Standard-IA is a storage class for data that is accessed less frequently, but requires rapid access when needed1. It has a lower storage cost than S3 Standard, but it has a higher retrieval cost and a minimum storage duration charge of 30 days. Therefore, moving assets to S3 Standard-IA after 30 days may not optimize the company’s storage costs if the assets are still accessed occasionally.
Option E is incorrect because S3 One Zone-IA is a storage class for data that is accessed less frequently, but requires rapid access when needed1. It has a lower storage cost than S3 Standard-IA, but it stores data in only one Availability Zone and has less resilience than other storage classes. It also has a higher retrieval cost and a minimum storage duration charge of 30 days. Therefore, moving assets to S3 One Zone-IA after 30 days may not optimize the company’s storage costs if the assets are still accessed occasionally or require high availability. Reference URL: 1: https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.html 2:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html 3: https://docs.aws.amazon.com/AmazonS3/latest/userguide/delete-or-empty- bucket.html#delete-bucket-considerations : https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html : https://aws.amazon.com/certification/certified-solutions-architect-associate/

NEW QUESTION 19

A telemarketing company is designing its customer call center functionality on AWS. The company needs a solution that provides multiples 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 piloses.
Which solution will meet these requirements?

• A. Use Amazon Recognition for multiple speaker recognitio
• B. Store the transcript files in Amazon S3 Use machine teaming models for transcript file analysis
• C. Use Amazon Transcribe for multiple speaker recognitio
• D. Use Amazon Athena for transcript file analysts
• E. Use Amazon Translate lor multiple speaker recognitio
• F. Store the transcript files in Amazon Redshift Use SQL queues lor transcript file analysis
• G. Use Amazon Recognition for multiple speaker recognitio
• H. Store the transcript files in Amazon S3 Use Amazon Textract for transcript file analysis

Answer: B

Explanation:
Amazon Transcribe now supports speaker labeling for streaming transcription. Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to convert speech-to-text. In live audio transcription, each stream of audio may contain multiple speakers. Now you can conveniently turn on the ability to label speakers, thus helping to identify who is saying what in the output transcript. https://aws.amazon.com/about-aws/whats-new/2020/08/amazon-transcribe-supports- speaker-labeling-streaming-transcription/

NEW QUESTION 20
......