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Amazon SAP-C01 Practice Test - Questions Answers, Page 62

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Question 611

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Question 612

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A company is planning to migrate its business-critical applications from an on-premises data center to AWS. The company has an on-premises installation of a Microsoft SQL Server Always On cluster. T

Question 613

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A media company has a 30-TB repository of digital news videos. These videos are stored on tape in an on-premises tape library and referenced by a Media Asset Management (MAM) system. The company wan

Question 614

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Question 615

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If I write the below command, what does it do? ec2-run ami-e3a5408a -n 20 -g appserver

Question 616

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A user has configured an EC2 instance in the US-East-1a zone. The user has enabled detailed monitoring of the instance. The user is trying to get the data from CloudWatch using a CLI. Which of the

Question 617

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A company is building an image service on the web that will allow users to upload and search random photos. At peak usage, up to 10,000 users worldwide will upload their images. The service will the

Question 618

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An organization is setting up a backup and restore system in AWS of their in premise system. The organization needs High Availability(HA) and Disaster Recovery(DR) but is okay to have a longer recov

Question 619

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A new startup is running a serverless application using AWS Lambda as the primary source of compute. New versions of the application must be made available to a subset of users before deploying chan

Question 620

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A financial services company receives a regular data feed from its credit card servicing partner. Approximately 5,000 records are sent every 15 minutes in plaintext, delivered over HTTPS directly in

Related questions

A medical company is building a data lake on Amazon S3. The data must be encrypted in transit and at rest. The data must remain protected even if S3 bucket is inadvertently made public. Which combination of steps will meet these requirements? (Choose three.)

A company is developing a gene reporting device that will collect genomic information to assist researchers will collecting large samples of data from a diverse population. The device will push 8 KB of genomic data every second to a data platform that will need to process and analyze the data and provide information back to researchers. The data platform must meet the following requirements: Provide near-real-time analytics of the inbound genomic data Ensure the data is flexible, parallel, and durable Deliver results of processing to a data warehouse Which strategy should a solutions architect use to meet these requirements?

A solutions architect needs to advise a company on how to migrate its on-premises data processing application to the AWS Cloud. Currently, users upload input files through a web portal. The web server then stores the uploaded files on NAS and messages the processing server over a message queue. Each media file can take up to 1 hour to process. The company has determined that the number of media files awaiting processing is significantly higher during business hours, with the number of files rapidly declining after business hours. What is the MOST cost-effective migration recommendation?

An online e-commerce business is running a workload on AWS. The application architecture includes a web tier, an application tier for business logic, and a database tier for user and transactional data management. The database server has a 100 GB memory requirement. The business requires cost-efficient disaster recovery for the application with an RTO of 5 minutes and an RPO of 1 hour. The business also has a regulatory for out-of-region disaster recovery with a minimum distance between the primary and alternate sites of 250 miles. Which of the following options can the Solutions Architect design to create a comprehensive solution for this customer that meets the disaster recovery requirements?

For AWS CloudFormation, which stack state refuses UpdateStack calls?

A Solutions Architect is migrating a 10 TB PostgreSQL database to Amazon RDS for PostgreSQL. The company’s internet link is 50 MB with a VPN in the Amazon VPC, and the Solutions Architect needs to migrate the data and synchronize the changes before the cutover. The cutover must take place within an 8-day period. What is the LEAST complex method of migrating the database securely and reliably?

A company’s processing team has an AWS account with a production application. The application runs on Amazon EC2 instances behind a Network Load Balancer (NLB). The EC2 instances are hosted in private subnets in a VPC in the eu- west- 1 Region. The VPC was assigned the CIDR block of 10.0.0.0/16. The billing team recently created a new AWS account and deployed an application on EC2 instances that are hosted in private subnets in a VPC in the eu-central-1 Region. The new VPC is assigned the CIDR block of 10.0.0.0/16. The processing application needs to securely communicate with the billing application over a proprietary TCP port. What should a solutions architect do to meet this requirement with the LEAST amount of operational effort?

A company is hosting a critical application on a single Amazon EC2 instance. The application uses an Amazon ElastiCache for Redis single-node cluster for an in-memory data store. The application uses an Amazon RDS for MariaDB DB instance for a relational database. For the application to function, each piece of the infrastructure must be healthy and must be in an active state. A solutions architect needs to improve the application's architecture so that the infrastructure can automatically recover from failure with the least possible downtime. Which combination of steps will meet these requirements? (Select THREE.)

What is the maximum number of data points for an HTTP data request that a user can include in PutMetricRequest in theCloudWatch?

You have deployed a web application targeting a global audience across multiple AWS Regions under the domain name.example.com. You decide to use Route53 Latency-Based Routing to serve web requests to users from the region closest to the user. To provide business continuity in the event of server downtime you configure weighted record sets associated with two web servers in separate Availability Zones per region. Dunning a DR test you notice that when you disable all web servers in one of the regions Route53 does not automatically direct all users to the other region. What could be happening? (Choose two.)

Question 611

A company CFO recently analyzed the company’s AWS monthly bill and identified an opportunity to reduce the cost for AWS Elastic Beanstalk environments in use. The CFO has asked a Solutions Architect to design a highly available solution that will spin up an Elastic Beanstalk environment in the morning and terminate it at the end of the day. The solution should be designed with minimal operational overhead and to minimize costs. It should also be able to handle the increased use of Elastic Beanstalk environments among different teams, and must provide a one-stop scheduler solution for all teams to keep the operational costs low.

What design will meet these requirements?

Set up a Linux EC2 Micro instance. Configure an IAM role to allow the start and stop of the Elastic Beanstalk environment and attach it to the instance. Create scripts on the instance to start and stop the Elastic Beanstalk environment. Configure cron jobs on the instance to execute the scripts.

Develop AWS Lambda functions to start and stop the Elastic Beanstalk environment. Configure a Lambda execution role granting Elastic Beanstalk environment start/stop permissions, and assign the role to the Lambda functions. Configure cron expression Amazon CloudWatch Events rules to trigger the Lambda functions.

Develop an AWS Step Functions state machine with “wait” as its type to control the start and stop time. Use the activity task to start and stop the Elastic Beanstalk environment. Create a role for Step Functions to allow it to start and stop the Elastic Beanstalk environment. Invoke Step Functions daily.

Configure a time-based Auto Scaling group. In the morning, have the Auto Scaling group scale up an Amazon EC2 instance and put the Elastic Beanstalk environment start command in the EC2 instance user data. At the end of the day, scale down the instance number to 0 to terminate the EC2 instance.

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Question 612

A company is planning to migrate its business-critical applications from an on-premises data center to AWS. The company has an on-premises installation of a Microsoft SQL Server Always On cluster. The company wants to migrate to an AWS managed database service. A solutions architect must design a heterogeneous database migration on AWS. Which solution will meet these requirements?

Migrate the SQL Server databases to Amazon RDS for MySQL by using backup and restore utilities.

Use an AWS Snowball Edge Storage Optimized device to transfer data to Amazon S3. Set up Amazon RDS for MySQL. Use S3 integration with SQL Server features, such as BULK INSERT.

Use the AWS Schema Conversion Tool to translate the database schema to Amazon RDS for MeSQL. Then use AWS Database Migration Service (AWS DMS) to migrate the data from on-premises databases to Amazon RDS.

Use AWS DataSync to migrate data over the network between on-premises storage and Amazon S3. Set up Amazon RDS for MySQL. Use S3 integration with SQL Server features, such as BULK INSERT.

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Question 613

A media company has a 30-TB repository of digital news videos. These videos are stored on tape in an on-premises tape library and referenced by a Media Asset Management (MAM) system. The company wants to enrich the metadata for these videos in an automated fashion and put them into a searchable catalog by using a MAM feature. The company must be able to search based on information in the video, such as objects, scenery items, or people’s faces. A catalog is available that contains faces of people who have appeared in the videos that include an image of each person. The company would like to migrate these videos to AWS. The company has a high-speed AWS Direct Connect connection with AWS and would like to move the MAM solution video content directly from its current file system. How can these requirements be met by using the LEAST amount of ongoing management overhead and causing MINIMAL disruption to the existing system?

Set up an AWS Storage Gateway, file gateway appliance on-premises. Use the MAM solution to extract the videos from the current archive and push them into the file gateway. Use the catalog of faces to build a collection in Amazon Rekognition.Build an AWS Lambda function that invokes the Rekognition Javascript SDK to have Rekognition pull the video from the Amazon S3 files backing the file gateway, retrieve the required metadata, and push the metadata into the MAM solution.

Set up an AWS Storage Gateway, tape gateway appliance on-premises. Use the MAM solution to extract the videos from the current archive and push them into the tape gateway. Use the catalog of faces to build a collection in Amazon Rekognition. Build an AWS Lambda function that invokes the Rekognition Javascript SDK to have Amazon Rekognition process the video in the tape gateway, retrieve the required metadata, and push the metadata into the MAM solution.

Configure a video ingestion stream by using Amazon Kinesis Video Streams. Use the catalog of faces to build a collection in Amazon Rekognition. Stream the videos from the MAM solution into Kinesis Video Streams. Configure Amazon Rekognition to process the streamed videos. Then, use a stream consumer to retrieve the required metadata, and push the metadata into the MAM solution. Configure the stream to store the videos in Amazon S3.

Set up an Amazon EC2 instance that runs the OpenCV libraries. Copy the videos, images, and face catalog from the onpremises library into an Amazon EBS volume mounted on this EC2 instance. Process the videos to retrieve the required metadata, and push the metadata into the MAM solution, while also copying the video files to an Amazon S3 bucket.

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Question 614

A company has a 24 TB MySQL database in its on-premises data center that grows at the rate of 10 GB per day. The data center is connected to the company’s AWS infrastructure with a 50 Mbps VPN connection. The company is migrating the application and workload to AWS. The application code is already installed and tested on Amazon EC2. The company now needs to migrate the database and wants to go live on AWS within 3 weeks. Which of the following approaches meets the schedule with LEAST downtime?

1. Use the VM Import/Export service to import a snapshot of the on-premises database into AWS.

Launch a new EC2 instance from the snapshot.

Set up ongoing database replication from on premises to the EC2 database over the VPN.

Change the DNS entry to point to the EC2 database.

Stop the replication.

1. Launch an AWS DMS instance.

Launch an Amazon RDS Aurora MySQL DB instance.

Configure the AWS DMS instance with on-premises and Amazon RDS database information.

Start the replication task within AWS DMS over the VPN.

Change the DNS entry to point to the Amazon RDS MySQL database.

Stop the replication.

1. Create a database export locally using database-native tools.

Import that into AWS using AWS Snowball.

Launch an Amazon RDS Aurora DB instance.

Load the data in the RDS Aurora DB instance from the export.

Set up database replication from the on-premises database to the RDS Aurora DB instance over the VPN. 6. Change the DNS entry to point to the RDS Aurora DB instance.

Stop the replication.

1. Take the on-premises application offline.

Create a database export locally using database-native tools.

Import that into AWS using AWS Snowball.

Launch an Amazon RDS Aurora DB instance.

Load the data in the RDS Aurora DB instance from the export.

Change the DNS entry to point to the Amazon RDS Aurora DB instance.

Put the Amazon EC2 hosted application online.

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Question 615

If I write the below command, what does it do? ec2-run ami-e3a5408a -n 20 -g appserver

Start twenty instances as members of appserver group.

Creates 20 rules in the security group named appserver

Terminate twenty instances as members of appserver group.

Start 20 security groups

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Question 616

A user has configured an EC2 instance in the US-East-1a zone. The user has enabled detailed monitoring of the instance. The user is trying to get the data from CloudWatch using a CLI.

Which of the below mentioned CloudWatch endpoint URLs should the user use?

monitoring.us-east-1a.amazonaws.com

cloudwatch.us-east-1a.amazonaws.com

monitoring.us-east-1.amazonaws.com

monitoring.us-east-1-a.amazonaws.com

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Question 617

A company is building an image service on the web that will allow users to upload and search random photos. At peak usage, up to 10,000 users worldwide will upload their images. The service will then overlay text on the uploaded images, which will then be published on the company website.

Which design should a solutions architect implement?

Store the uploaded images in Amazon Elastic File System (Amazon EFS). Send application log information about each image to Amazon CloudWatch Logs. Create a fleet of Amazon EC2 instances that use CloudWatch Logs to determine which images need to be processed. Place processed images in another directory in Amazon EFS Enable Amazon CloudFront and configure the origin to be the one of the EC2 instances in the fleet.

Store the uploaded images in an Amazon S3 bucket and configure an S3 bucket event notification to send a message to Amazon Simple Notification Service (Amazon SNS). Create a fleet of Amazon EC2 instances behind an Application Load Balancer (ALB) to pull messages from Amazon SNS to process the images and place them in Amazon Elastic File System (Amazon EFS). Use Amazon CloudWatch metrics for the SNS message volume to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to be the ALB in front of the EC2 instances.

Store the uploaded images in an Amazon S3 bucket and configure an S3 bucket event notification to send a message to the Amazon Simple Queue Service (Amazon SQS) queue. Create a fleet of Amazon EC2 instances to pull messages from the SQS queue to process the images and place them in another S3 bucket Use Amazon CloudWatch metrics for queue depth to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to be the S3 bucket that contains the processed images.

Store the uploaded images on a shared Amazon Elastic Block Store (Amazon EBS) volume mounted to a fleet of Amazon EC2 Spot instances. Create an Amazon DynamoDB table that contains information about each uploaded image and whether it has been processed. Use an Amazon EventBridge (Amazon CloudWatch Events) rule to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to reference an Elastic Load Balancer in front of the fleet of EC2 instances.

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Question 618

An organization is setting up a backup and restore system in AWS of their in premise system. The organization needs High Availability(HA) and Disaster Recovery(DR) but is okay to have a longer recovery time to save costs. Which of the below mentioned setup options helps achieve the objective of cost saving as well as DR in the most effective way?

Setup pre-configured servers and create AMIs. Use EIP and Route 53 to quickly switch over to AWS from in premise.

Setup the backup data on S3 and transfer data to S3 regularly using the storage gateway.

Setup a small instance with AutoScaling; in case of DR start diverting all the load to AWS from on premise.

Replicate on premise DB to EC2 at regular intervals and setup a scenario similar to the pilot light.

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Question 619

A new startup is running a serverless application using AWS Lambda as the primary source of compute. New versions of the application must be made available to a subset of users before deploying changes to all users. Developers should also have the ability to abort the deployment and have access to an easy rollback mechanism. A solutions architect decides to use AWS CodeDeploy to deploy changes when a new version is available. Which CodeDeploy configuration should the solutions architect use?

A blue/green deployment

A linear deployment

A canary deployment

An all-at-once deployment

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Question 620

A financial services company receives a regular data feed from its credit card servicing partner. Approximately 5,000 records are sent every 15 minutes in plaintext, delivered over HTTPS directly into an Amazon S3 bucket with server-side encryption.

This feed contains sensitive credit card primary account number (PAN) data. The company needs to automatically mask the PAN before sending the data to another S3 bucket for additional internal processing. The company also needs to remove and merge specific fields, and then transform the record into JSON format. Additionally, extra feeds are likely to be added in the future, so any design needs to be easily expandable. Which solutions will meet these requirements?

Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue. Trigger another Lambda function when new messages arrive in the SQS queue to process the records, writing the results to a temporary location in Amazon S3. Trigger a final Lambda function once the SQS queue is empty to transform the records into JSON format and send the results to another S3 bucket for internal processing.

Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue. Configure an AWS Fargate container application to automatically scale to a single instance when the SQS queue contains messages. Have the application process each record, and transform the record into JSON format. When the queue is empty, send the results to another S3 bucket for internal processing and scale down the AWS Fargate instance.

Create an AWS Glue crawler and custom classifier based on the data feed formats and build a table definition to match. Trigger an AWS Lambda function on file delivery to start an AWS Glue ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, have the ETL job send the results to another S3 bucket for internal processing.

Create an AWS Glue crawler and custom classifier based upon the data feed formats and build a table definition to match. Perform an Amazon Athena query on file delivery to start an Amazon EMR ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, send the results to another S3 bucket for internal processing and scale down the EMR cluster.

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