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SAA-C03 — questions

Page 41 of 51 · 1019 total questions.

SAA-C03 Question 801

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Topic 1 · Question 801

A financial company needs to handle highly sensitive data. The company will store the data in an Amazon S3 bucket. The company needs to ensure that the data is encrypted in transit and at rest. The company must manage the encryption keys outside the AWS Cloud. Which solution will meet these requirements?

  • AEncrypt the data in the S3 bucket with server-side encryption (SSE) that uses an AWS Key Management Service (AWS KMS) customer managed key.
  • BEncrypt the data in the S3 bucket with server-side encryption (SSE) that uses an AWS Key Management Service (AWS KMS) AWS managed key.
  • CEncrypt the data in the S3 bucket with the default server-side encryption (SSE).
  • DEncrypt the data at the company's data center before storing the data in the S3 bucket. (correct answer)
Reveal answer & explanation
Correct answer: D

The correct answer is D. Option D: Encrypt the data at the company's data center before storing the data in the S3 bucket.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed.

SAA-C03 Question 802

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Topic 1 · Question 802

A company wants to run its payment application on AWS. The application receives payment notifications from mobile devices. Payment notifications require a basic validation before they are sent for further processing. The backend processing application is long running and requires compute and memory to be adjusted. The company does not want to manage the infrastructure. Which solution will meet these requirements with the LEAST operational overhead?

  • ACreate an Amazon Simple Queue Service (Amazon SQS) queue. Integrate the queue with an Amazon EventBridge rule to receive payment notifications from mobile devices. Configure the rule to validate payment notifications and send the notifications to the backend application. Deploy the backend application on Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere. Create a standalone cluster.
  • BCreate an Amazon API Gateway API. Integrate the API with an AWS Step Functions state machine to receive payment notifications from mobile devices. Invoke the state machine to validate payment notifications and send the notifications to the backend application. Deploy the backend application on Amazon Elastic Kubernetes Service (Amazon EKS). Configure an EKS cluster with self-managed nodes.
  • CCreate an Amazon Simple Queue Service (Amazon SQS) queue. Integrate the queue with an Amazon EventBridge rule to receive payment notifications from mobile devices. Configure the rule to validate payment notifications and send the notifications to the backend application. Deploy the backend application on Amazon EC2 Spot Instances. Configure a Spot Fleet with a default allocation strategy.
  • DCreate an Amazon API Gateway API. Integrate the API with AWS Lambda to receive payment notifications from mobile devices. Invoke a Lambda function to validate payment notifications and send the notifications to the backend application. Deploy the backend application on Amazon Elastic Container Service (Amazon ECS). Configure Amazon ECS with an AWS Fargate launch type. (correct answer)
Reveal answer & explanation
Correct answer: D

The correct answer is D. Option D: Create an Amazon API Gateway API. Integrate the API with AWS Lambda to receive payment notifications from mobile devices. Invoke a Lambda function to validate payment notifications and send the notifications to the ba...

Explanation

AWS Lambda runs code without provisioning servers and scales automatically, which minimizes operational overhead. AWS Fargate runs containers serverlessly so there are no EC2 hosts to manage or patch. Amazon ECS orchestrates containers and integrates natively with AWS networking and IAM.

SAA-C03 Question 803

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Topic 1 · Question 803

A solutions architect is designing a user authentication solution for a company. The solution must invoke two-factor authentication for users that log in from inconsistent geographical locations, IP addresses, or devices. The solution must also be able to scale up to accommodate millions of users. Which solution will meet these requirements?

  • AConfigure Amazon Cognito user pools for user authentication. Enable the risk-based adaptive authentication feature with multifactor authentication (MFA). (correct answer)
  • BConfigure Amazon Cognito identity pools for user authentication. Enable multi-factor authentication (MFA).
  • CConfigure AWS Identity and Access Management (IAM) users for user authentication. Attach an IAM policy that allows the AllowManageOwnUserMFA action.
  • DConfigure AWS IAM Identity Center (AWS Single Sign-On) authentication for user authentication. Configure the permission sets to require multi-factor authentication (MFA).
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Configure Amazon Cognito user pools for user authentication. Enable the risk-based adaptive authentication feature with multifactor authentication (MFA).

Explanation

Amazon Cognito manages user sign-up, sign-in and federated identity for applications. AWS Config tracks resource configuration changes and evaluates compliance.

SAA-C03 Question 804

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Topic 1 · Question 804

A company has an Amazon S3 data lake. The company needs a solution that transforms the data from the data lake and loads the data into a data warehouse every day. The data warehouse must have massively parallel processing (MPP) capabilities. Data analysts then need to create and train machine learning (ML) models by using SQL commands on the data. The solution must use serverless AWS services wherever possible. Which solution will meet these requirements?

  • ARun a daily Amazon EMR job to transform the data and load the data into Amazon Redshift. Use Amazon Redshift ML to create and train the ML models.
  • BRun a daily Amazon EMR job to transform the data and load the data into Amazon Aurora Serverless. Use Amazon Aurora ML to create and train the ML models.
  • CRun a daily AWS Glue job to transform the data and load the data into Amazon Redshift Serverless. Use Amazon Redshift ML to create and train the ML models. (correct answer)
  • DRun a daily AWS Glue job to transform the data and load the data into Amazon Athena tables. Use Amazon Athena ML to create and train the ML models.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Run a daily AWS Glue job to transform the data and load the data into Amazon Redshift Serverless. Use Amazon Redshift ML to create and train the ML models.

Explanation

Amazon Redshift is a managed petabyte-scale data warehouse for complex analytical queries. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

SAA-C03 Question 805

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Topic 1 · Question 805

A company runs containers in a Kubernetes environment in the company's local data center. The company wants to use Amazon Elastic Kubernetes Service (Amazon EKS) and other AWS managed services. Data must remain locally in the company's data center and cannot be stored in any remote site or cloud to maintain compliance. Which solution will meet these requirements?

  • ADeploy AWS Local Zones in the company's data center.
  • BUse an AWS Snowmobile in the company's data center.
  • CInstall an AWS Outposts rack in the company's data center. (correct answer)
  • DInstall an AWS Snowball Edge Storage Optimized node in the data center.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Install an AWS Outposts rack in the company's data center.

Explanation

AWS Outposts extends AWS infrastructure on premises for low-latency or data-residency needs.

SAA-C03 Question 806

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Topic 1 · Question 806

A social media company has workloads that collect and process data. The workloads store the data in on-premises NFS storage. The data store cannot scale fast enough to meet the company’s expanding business needs. The company wants to migrate the current data store to AWS. Which solution will meet these requirements MOST cost-effectively?

  • ASet up an AWS Storage Gateway Volume Gateway. Use an Amazon S3 Lifecycle policy to transition the data to the appropriate storage class.
  • BSet up an AWS Storage Gateway Amazon S3 File Gateway. Use an Amazon S3 Lifecycle policy to transition the data to the appropriate storage class. (correct answer)
  • CUse the Amazon Elastic File System (Amazon EFS) Standard-Infrequent Access (Standard-IA) storage class. Activate the infrequent access lifecycle policy.
  • DUse the Amazon Elastic File System (Amazon EFS) One Zone-Infrequent Access (One Zone-IA) storage class. Activate the infrequent access lifecycle policy.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Set up an AWS Storage Gateway Amazon S3 File Gateway. Use an Amazon S3 Lifecycle policy to transition the data to the appropriate storage class.

Explanation

S3 Lifecycle policies automatically transition or expire objects to control storage cost. Amazon S3 provides durable, scalable object storage that is fully managed. AWS Storage Gateway bridges on-premises apps to AWS storage with local caching. This option delivers the requirement at the lowest cost.

SAA-C03 Question 807

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Topic 1 · Question 807

A company uses high concurrency AWS Lambda functions to process a constantly increasing number of messages in a message queue during marketing events. The Lambda functions use CPU intensive code to process the messages. The company wants to reduce the compute costs and to maintain service latency for its customers. Which solution will meet these requirements?

  • AConfigure reserved concurrency for the Lambda functions. Decrease the memory allocated to the Lambda functions.
  • BConfigure reserved concurrency for the Lambda functions. Increase the memory according to AWS Compute Optimizer recommendations.
  • CConfigure provisioned concurrency for the Lambda functions. Decrease the memory allocated to the Lambda functions.
  • DConfigure provisioned concurrency for the Lambda functions. Increase the memory according to AWS Compute Optimizer recommendations. (correct answer)
Reveal answer & explanation
Correct answer: D

The correct answer is D. Option D: Configure provisioned concurrency for the Lambda functions. Increase the memory according to AWS Compute Optimizer recommendations.

Explanation

AWS Lambda runs code without provisioning servers and scales automatically, which minimizes operational overhead. AWS Config tracks resource configuration changes and evaluates compliance. AWS Compute Optimizer recommends right-sizing based on utilization.

SAA-C03 Question 808

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Topic 1 · Question 808

A company runs its workloads on Amazon Elastic Container Service (Amazon ECS). The container images that the ECS task definition uses need to be scanned for Common Vulnerabilities and Exposures (CVEs). New container images that are created also need to be scanned. Which solution will meet these requirements with the FEWEST changes to the workloads?

  • AUse Amazon Elastic Container Registry (Amazon ECR) as a private image repository to store the container images. Specify scan on push filters for the ECR basic scan. (correct answer)
  • BStore the container images in an Amazon S3 bucket. Use Amazon Macie to scan the images. Use an S3 Event Notification to initiate a Macie scan for every event with an s3:ObjectCreated:Put event type.
  • CDeploy the workloads to Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon Elastic Container Registry (Amazon ECR) as a private image repository. Specify scan on push filters for the ECR enhanced scan.
  • DStore the container images in an Amazon S3 bucket that has versioning enabled. Configure an S3 Event Notification for s3:ObjectCreated:* events to invoke an AWS Lambda function. Configure the Lambda function to initiate an Amazon Inspector scan.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Use Amazon Elastic Container Registry (Amazon ECR) as a private image repository to store the container images. Specify scan on push filters for the ECR basic scan.

SAA-C03 Question 809

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Topic 1 · Question 809

A company uses an AWS Batch job to run its end-of-day sales process. The company needs a serverless solution that will invoke a third-party reporting application when the AWS Batch job is successful. The reporting application has an HTTP API interface that uses username and password authentication. Which solution will meet these requirements?

  • AConfigure an Amazon EventBridge rule to match incoming AWS Batch job SUCCEEDED events. Configure the third-party API as an EventBridge API destination with a username and password. Set the API destination as the EventBridge rule target. (correct answer)
  • BConfigure Amazon EventBridge Scheduler to match incoming AWS Batch job SUCCEEDED events. Configure an AWS Lambda function to invoke the third-party API by using a username and password. Set the Lambda function as the EventBridge rule target.
  • CConfigure an AWS Batch job to publish job SUCCEEDED events to an Amazon API Gateway REST API. Configure an HTTP proxy integration on the API Gateway REST API to invoke the third-party API by using a username and password.
  • DConfigure an AWS Batch job to publish job SUCCEEDED events to an Amazon API Gateway REST API. Configure a proxy integration on the API Gateway REST API to an AWS Lambda function. Configure the Lambda function to invoke the third-party API by using a username and password.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Configure an Amazon EventBridge rule to match incoming AWS Batch job SUCCEEDED events. Configure the third-party API as an EventBridge API destination with a username and password. Set the API destination as the Event...

Explanation

AWS Batch schedules and runs batch computing jobs at any scale without managing clusters. Amazon EventBridge routes events between services with rules, enabling event-driven, decoupled architectures. AWS Config tracks resource configuration changes and evaluates compliance.

SAA-C03 Question 810

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Topic 1 · Question 810

A company collects and processes data from a vendor. The vendor stores its data in an Amazon RDS for MySQL database in the vendor's own AWS account. The company’s VPC does not have an internet gateway, an AWS Direct Connect connection, or an AWS Site-to-Site VPN connection. The company needs to access the data that is in the vendor database. Which solution will meet this requirement?

  • AInstruct the vendor to sign up for the AWS Hosted Connection Direct Connect Program. Use VPC peering to connect the company's VPC and the vendor's VPC.
  • BConfigure a client VPN connection between the company's VPC and the vendor's VPC. Use VPC peering to connect the company's VPC and the vendor's VPC.
  • CInstruct the vendor to create a Network Load Balancer (NLB). Place the NLB in front of the Amazon RDS for MySQL database. Use AWS PrivateLink to integrate the company's VPC and the vendor's VPC. (correct answer)
  • DUse AWS Transit Gateway to integrate the company's VPC and the vendor's VPC. Use VPC peering to connect the company’s VPC and the vendor's VPC.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Instruct the vendor to create a Network Load Balancer (NLB). Place the NLB in front of the Amazon RDS for MySQL database. Use AWS PrivateLink to integrate the company's VPC and the vendor's VPC.

Explanation

Amazon RDS is a managed relational database that handles patching, backups and failover. A Network Load Balancer handles very high throughput TCP/UDP traffic with ultra-low latency and static IPs. A load balancer distributes traffic across targets in multiple AZs for availability and scale.

SAA-C03 Question 811

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Topic 1 · Question 811

A company wants to set up Amazon Managed Grafana as its visualization tool. The company wants to visualize data from its Amazon RDS database as one data source. The company needs a secure solution that will not expose the data over the internet. Which solution will meet these requirements?

  • ACreate an Amazon Managed Grafana workspace without a VPC. Create a public endpoint for the RDS database. Configure the public endpoint as a data source in Amazon Managed Grafana.
  • BCreate an Amazon Managed Grafana workspace in a VPC. Create a private endpoint for the RDS database. Configure the private endpoint as a data source in Amazon Managed Grafana. (correct answer)
  • CCreate an Amazon Managed Grafana workspace without a VPCreate an AWS PrivateLink endpoint to establish a connection between Amazon Managed Grafana and Amazon RDS. Set up Amazon RDS as a data source in Amazon Managed Grafana.
  • DCreate an Amazon Managed Grafana workspace in a VPC. Create a public endpoint for the RDS database. Configure the public endpoint as a data source in Amazon Managed Grafana.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Create an Amazon Managed Grafana workspace in a VPC. Create a private endpoint for the RDS database. Configure the private endpoint as a data source in Amazon Managed Grafana.

Explanation

Amazon RDS is a managed relational database that handles patching, backups and failover. AWS Config tracks resource configuration changes and evaluates compliance.

SAA-C03 Question 812

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Topic 1 · Question 812

A company hosts a data lake on Amazon S3. The data lake ingests data in Apache Parquet format from various data sources. The company uses multiple transformation steps to prepare the ingested data. The steps include filtering of anomalies, normalizing of data to standard date and time values, and generation of aggregates for analyses. The company must store the transformed data in S3 buckets that data analysts access. The company needs a prebuilt solution for data transformation that does not require code. The solution must provide data lineage and data profiling. The company needs to share the data transformation steps with employees throughout the company. Which solution will meet these requirements?

  • AConfigure an AWS Glue Studio visual canvas to transform the data. Share the transformation steps with employees by using AWS Glue jobs.
  • BConfigure Amazon EMR Serverless to transform the data. Share the transformation steps with employees by using EMR Serverless jobs.
  • CConfigure AWS Glue DataBrew to transform the data. Share the transformation steps with employees by using DataBrew recipes. (correct answer)
  • DCreate Amazon Athena tables for the data. Write Athena SQL queries to transform the data. Share the Athena SQL queries with employees.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Configure AWS Glue DataBrew to transform the data. Share the transformation steps with employees by using DataBrew recipes.

Explanation

AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data. AWS Config tracks resource configuration changes and evaluates compliance.

SAA-C03 Question 813

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Topic 1 · Question 813

A solutions architect runs a web application on multiple Amazon EC2 instances that are in individual target groups behind an Application Load Balancer (ALB). Users can reach the application through a public website. The solutions architect wants to allow engineers to use a development version of the website to access one specific development EC2 instance to test new features for the application. The solutions architect wants to use an Amazon Route 53 hosted zone to give the engineers access to the development instance. The solution must automatically route to the development instance even if the development instance is replaced. Which solution will meet these requirements?

  • ACreate an A Record for the development website that has the value set to the ALB. Create a listener rule on the ALB that forwards requests for the development website to the target group that contains the development instance. (correct answer)
  • BRecreate the development instance with a public IP address. Create an A Record for the development website that has the value set to the public IP address of the development instance.
  • CCreate an A Record for the development website that has the value set to the ALB. Create a listener rule on the ALB to redirect requests for the development website to the public IP address of the development instance.
  • DPlace all the instances in the same target group. Create an A Record for the development website. Set the value to the ALB. Create a listener rule on the ALB that forwards requests for the development website to the target group.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Create an A Record for the development website that has the value set to the ALB. Create a listener rule on the ALB that forwards requests for the development website to the target group that contains the development...

Explanation

Amazon EBS provides block storage attached to a single EC2 instance. Amazon RDS is a managed relational database that handles patching, backups and failover.

SAA-C03 Question 814

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Topic 1 · Question 814

A company runs a container application on a Kubernetes cluster in the company's data center. The application uses Advanced Message Queuing Protocol (AMQP) to communicate with a message queue. The data center cannot scale fast enough to meet the company’s expanding business needs. The company wants to migrate the workloads to AWS. Which solution will meet these requirements with the LEAST operational overhead?

  • AMigrate the container application to Amazon Elastic Container Service (Amazon ECS). Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages.
  • BMigrate the container application to Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon MQ to retrieve the messages. (correct answer)
  • CUse highly available Amazon EC2 instances to run the application. Use Amazon MQ to retrieve the messages.
  • DUse AWS Lambda functions to run the application. Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Migrate the container application to Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon MQ to retrieve the messages.

Explanation

Amazon EKS runs managed Kubernetes when you need the Kubernetes ecosystem. Amazon MQ is a managed message broker for ActiveMQ/RabbitMQ when standard protocols are required.

SAA-C03 Question 815

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Topic 1 · Question 815

An online gaming company hosts its platform on Amazon EC2 instances behind Network Load Balancers (NLBs) across multiple AWS Regions. The NLBs can route requests to targets over the internet. The company wants to improve the customer playing experience by reducing end-to-end load time for its global customer base. Which solution will meet these requirements?

  • ACreate Application Load Balancers (ALBs) in each Region to replace the existing NLBs. Register the existing EC2 instances as targets for the ALBs in each Region.
  • BConfigure Amazon Route 53 to route equally weighted traffic to the NLBs in each Region.
  • CCreate additional NLBs and EC2 instances in other Regions where the company has large customer bases.
  • DCreate a standard accelerator in AWS Global Accelerator. Configure the existing NLBs as target endpoints. (correct answer)
Reveal answer & explanation
Correct answer: D

The correct answer is D. Option D: Create a standard accelerator in AWS Global Accelerator. Configure the existing NLBs as target endpoints.

Explanation

AWS Global Accelerator routes users over the AWS backbone to the optimal endpoint for lower latency and fast failover. AWS Config tracks resource configuration changes and evaluates compliance.

SAA-C03 Question 816

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Topic 1 · Question 816

A company has an on-premises application that uses SFTP to collect financial data from multiple vendors. The company is migrating to the AWS Cloud. The company has created an application that uses Amazon S3 APIs to upload files from vendors. Some vendors run their systems on legacy applications that do not support S3 APIs. The vendors want to continue to use SFTP-based applications to upload data. The company wants to use managed services for the needs of the vendors that use legacy applications. Which solution will meet these requirements with the LEAST operational overhead?

  • ACreate an AWS Database Migration Service (AWS DMS) instance to replicate data from the storage of the vendors that use legacy applications to Amazon S3. Provide the vendors with the credentials to access the AWS DMS instance.
  • BCreate an AWS Transfer Family endpoint for vendors that use legacy applications. (correct answer)
  • CConfigure an Amazon EC2 instance to run an SFTP server. Instruct the vendors that use legacy applications to use the SFTP server to upload data.
  • DConfigure an Amazon S3 File Gateway for vendors that use legacy applications to upload files to an SMB file share.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Create an AWS Transfer Family endpoint for vendors that use legacy applications.

Explanation

AWS Transfer Family provides managed SFTP/FTPS/FTP access to S3 and EFS.

SAA-C03 Question 817

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Topic 1 · Question 817

A marketing team wants to build a campaign for an upcoming multi-sport event. The team has news reports from the past five years in PDF format. The team needs a solution to extract insights about the content and the sentiment of the news reports. The solution must use Amazon Textract to process the news reports. Which solution will meet these requirements with the LEAST operational overhead?

  • AProvide the extracted insights to Amazon Athena for analysis. Store the extracted insights and analysis in an Amazon S3 bucket.
  • BStore the extracted insights in an Amazon DynamoDB table. Use Amazon SageMaker to build a sentiment model.
  • CProvide the extracted insights to Amazon Comprehend for analysis. Save the analysis to an Amazon S3 bucket. (correct answer)
  • DStore the extracted insights in an Amazon S3 bucket. Use Amazon QuickSight to visualize and analyze the data.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Provide the extracted insights to Amazon Comprehend for analysis. Save the analysis to an Amazon S3 bucket.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. Amazon Comprehend extracts insights and entities from text using NLP.

SAA-C03 Question 818

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Topic 1 · Question 818

A company's application runs on Amazon EC2 instances that are in multiple Availability Zones. The application needs to ingest real-time data from third-party applications. The company needs a data ingestion solution that places the ingested raw data in an Amazon S3 bucket. Which solution will meet these requirements?

  • ACreate Amazon Kinesis data streams for data ingestion. Create Amazon Kinesis Data Firehose delivery streams to consume the Kinesis data streams. Specify the S3 bucket as the destination of the delivery streams. (correct answer)
  • BCreate database migration tasks in AWS Database Migration Service (AWS DMS). Specify replication instances of the EC2 instances as the source endpoints. Specify the S3 bucket as the target endpoint. Set the migration type to migrate existing data and replicate ongoing changes.
  • CCreate and configure AWS DataSync agents on the EC2 instances. Configure DataSync tasks to transfer data from the EC2 instances to the S3 bucket.
  • DCreate an AWS Direct Connect connection to the application for data ingestion. Create Amazon Kinesis Data Firehose delivery streams to consume direct PUT operations from the application. Specify the S3 bucket as the destination of the delivery streams.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Create Amazon Kinesis data streams for data ingestion. Create Amazon Kinesis Data Firehose delivery streams to consume the Kinesis data streams. Specify the S3 bucket as the destination of the delivery streams.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. Kinesis Data Firehose delivers streaming data to destinations like S3/Redshift with no servers to manage. Kinesis Data Streams ingests and processes high-volume real-time streaming data. By spanning multiple Availability Zones / adding redundancy, this option provides the high availability and resilience required.

SAA-C03 Question 819

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Topic 1 · Question 819

A company’s application is receiving data from multiple data sources. The size of the data varies and is expected to increase over time. The current maximum size is 700 KB. The data volume and data size continue to grow as more data sources are added. The company decides to use Amazon DynamoDB as the primary database for the application. A solutions architect needs to identify a solution that handles the large data sizes. Which solution will meet these requirements in the MOST operationally efficient way?

  • ACreate an AWS Lambda function to filter the data that exceeds DynamoDB item size limits. Store the larger data in an Amazon DocumentDB (with MongoDB compatibility) database.
  • BStore the large data as objects in an Amazon S3 bucket. In a DynamoDB table, create an item that has an attribute that points to the S3 URL of the data. (correct answer)
  • CSplit all incoming large data into a collection of items that have the same partition key. Write the data to a DynamoDB table in a single operation by using the BatchWriteItem API operation.
  • DCreate an AWS Lambda function that uses gzip compression to compress the large objects as they are written to a DynamoDB table.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Store the large data as objects in an Amazon S3 bucket. In a DynamoDB table, create an item that has an attribute that points to the S3 URL of the data.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. Amazon DynamoDB is a fully managed, serverless NoSQL database with single-digit millisecond latency and automatic scaling.

SAA-C03 Question 820

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Topic 1 · Question 820

A company is migrating a legacy application from an on-premises data center to AWS. The application relies on hundreds of cron jobs that run between 1 and 20 minutes on different recurring schedules throughout the day. The company wants a solution to schedule and run the cron jobs on AWS with minimal refactoring. The solution must support running the cron jobs in response to an event in the future. Which solution will meet these requirements?

  • ACreate a container image for the cron jobs. Use Amazon EventBridge Scheduler to create a recurring schedule. Run the cron job tasks as AWS Lambda functions.
  • BCreate a container image for the cron jobs. Use AWS Batch on Amazon Elastic Container Service (Amazon ECS) with a scheduling policy to run the cron jobs.
  • CCreate a container image for the cron jobs. Use Amazon EventBridge Scheduler to create a recurring schedule. Run the cron job tasks on AWS Fargate. (correct answer)
  • DCreate a container image for the cron jobs. Create a workflow in AWS Step Functions that uses a Wait state to run the cron jobs at a specified time. Use the RunTask action to run the cron job tasks on AWS Fargate.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Create a container image for the cron jobs. Use Amazon EventBridge Scheduler to create a recurring schedule. Run the cron job tasks on AWS Fargate.

Explanation

AWS Fargate runs containers serverlessly so there are no EC2 hosts to manage or patch. Amazon EventBridge routes events between services with rules, enabling event-driven, decoupled architectures.

Showing questions 801–820 of 1019 · Page 41 of 51