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QUESTION 1
A company’s CISO has asked a Solutions Architect to re-engineer the company’s current CI/CD practices to make sure patch deployments to its applications can happen as quickly as possible with minimal downtime if vulnerabilities are discovered. The company must also be able to quickly roll back a change in case of errors. The web application is deployed in a fleet of Amazon EC2 instances behind an Application Load Balancer. The company is currently using GitHub to host the application source code and has configured an AWS CodeBuild project to build the application. The company also intends to use AWS CodePipeLine to trigger builds form GitHub commits using the existing CodeBuild project.

What CI/CD configuration meets all of the requirements?

A. Configure CodePipeline with a deploy stage using AWS CodeDeploy configured for in-place deployment. Monitor the newly deployed code, and if there are any issues, push another code update.
B. Configure CodePipeline with a deploy stage using AWS CodeDeploy configure for blue/green deployments. Monitor the new deployed code and if there are any issues, trigger a manual rollback using CodeDeploy.
C. Configure CodePipeline with a deploy stage using AWS CloudFormation to create a pipeline for test and production stacks. Monitor the newly deployed cod and if there are any issues push another code update.
D. Configure the CodePipeline with a deploy stage using AWS OpsWorks and in-place deployments. Monitor the newly deployed code and if there are any issues, push another code update.

Correct Answer: B

QUESTION 2
A company standardized its method of deploying applications to AWS using AWS CodePipeline and AWS Cloud Formation. The applications are in TypeScript and Python. The company has recently acquired another business that deploys applications to AWS using Python scripts. Developers from the newly acquired company are hesitant to move their applications under Cloud Formation because it would require that they learn a new domain-specific language and eliminate their access to language features, such as looping.

How can the acquired applications quickly be brought up to deployment standards while addressing the developers’ concerns?

A. Create Cloud Formation templates and re-use parts of the Python scripts as Instance user data. Use the AWS Cloud Development Kit (AWS CDK) to deploy the application using these templates. Incorporate the AWS CDK into CodePipeline and deploy the application to AWS using these templates.
B. Use a third-party resource provisioning engine inside AWS CodeBuild to standardize the deployment processes of the existing and acquired company Orchestrate the CodeBuild job using CodePipeline.
C. Standardize on AWS OpsWorks. Integrate OpsWorks with CodePipeline Have the developers create Chef recipes to deploy their applications on AWS.
D. Define the AWS resources using TypeScript or Python Use the AWS Cloud Development Kit (AWS CDK) to create CloudFormation templates from the developers’ code, and use the AWS CDK to create CloudFormation stacks Incorporate the AWS CDK as a CodeBuild job in CodePipeline

Correct Answer: D

QUESTION 3
A media company has a 30-TB repository of digital news videos. These videos are stored on tape in an onpremises 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?

A. 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.
B. 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.
C. 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.
D. Set up an Amazon EC2 instance that runs the OpenCV libraries. Copy the videos, images, and face catalog from the on-premises 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.

Correct Answer: C

QUESTION 4
An auction website enables users to bid on collectible items. The auction rules require that each bid is processed only once and in the order it was received. The current implementation is based on a fleet of Amazon EC2 web servers that write bid records into Amazon Kinesis Data Streams. A single t2.large instance has a cron job that runs the bid processor, which reads incoming bids from Kinesis Data Streams and processes each bid. The auction site is growing in popularity, but users are complaining that some bids are not registering.
Troubleshooting indicates that the bid processor is too slow during peak demand hours, sometimes crashes while processing, and occasionally loses track of which records is being processed.

What changes should make the bid processing more reliable?

A. Refactor the web application to use the Amazon Kinesis Producer Library (KPL) when posting bids to Kinesis Data Streams. Refactor the bid processor to flag each record in Kinesis Data Streams as being unread, processing, and processed. At the start of each bid processing run, scan Kinesis Data Streams for unprocessed records.
B. Refactor the web application to post each incoming bid to an Amazon SNS topic in place of Kinesis Data Streams. Configure the SNS topic to trigger an AWS Lambda function that processes each bid as soon as a user submits it.
C. Refactor the web application to post each incoming bid to an Amazon SQS FIFO queue in place of Kinesis Data Streams. Refactor the bid processor to continuously the SQS queue. Place the bid processing EC2 instance in an Auto Scaling group with a minimum and a maximum size of 1.
D. Switch the EC2 instance type from t2.large to a larger general compute instance type. Put the bid processor EC2 instances in an Auto Scaling group that scales out the number of EC2 instances running the bid processor, based on the IncomingRecords metric in Kinesis Data Streams. FIFO is better in this case compared to Kinesis, as it guarantee the order of the bid. Min Max 1, is okay as the SQS will hold the queue in case of failure of the instance, till it come back again.

Correct Answer: C

QUESTION 5
A Solutions Architect is redesigning an image-viewing and messaging platform to be delivered as SaaS. Currently, there is a farm of virtual desktop infrastructure (VDI) that runs a desktop image-viewing application and a desktop messaging application. Both applications use a shared database to manage user accounts and sharing. Users log in from a web portal that launches the applications and streams the view of the application on the user’s machine. The Development Operations team wants to move away from using VDI and wants to rewrite the application.

What is the MOST cost-effective architecture that offers both security and ease of management?

A. Run a website from an Amazon S3 bucket with a separate S3 bucket for images and messaging data.
Call AWS Lambda functions from embedded JavaScript to manage the dynamic content, and use Amazon Cognito for user and sharing management.
B. Run a website from Amazon EC2 Linux servers, storing the images in Amazon S3, and use Amazon Cognito for user accounts and sharing. Create AWS CloudFormation templates to launch the application by using EC2 user data to install and configure the application.
C. Run a website as an AWS Elastic Beanstalk application, storing the images in Amazon S3, and using an Amazon RDS database for user accounts and sharing. Create AWS CloudFormation templates to launch the application and perform blue/green deployments.
D. Run a website from an Amazon S3 bucket that authorizes Amazon AppStream to stream applications for a combined image viewer and messenger that stores images in Amazon S3. Have the website use an Amazon RDS database for user accounts and sharing.

Correct Answer: D

QUESTION 6
A large company in Europe plans to migrate its applications to the AWS Cloud, The company uses multiple AWS accounts for various business groups. A data privacy law requires the company to restrict developers’ access to AWS European Regions only.

What should the solutions architect do to meet this requirement with the LEAST amount of management overhead?

A. Create IAM users and IAM groups in each account. Create IAM policies to limit access to nonEuropean Regions. Attach the IAM policies to the IAM groups.
B. Enable AWS Organizations, attach the AWS accounts, and create OUs tor European Regions and nonEuropean Regions. Create SCPs to limit access to non-European Regions and attach the policies to the OUs.
C. Set up AWS Single Sign-On and attach AWS accounts. Create permission sets with policies to restrict access to non-European Regions. Create IAM users and IAM groups in each account.
D. Enable AWS Organizations, attach the AWS accounts, and create OUs for European Regions and nonEuropean Regions. Create permission sets with policies to restrict access lo non-European Regions. Create IAM users and IAM groups in the primary account.

Correct Answer: B

QUESTION 7
A company runs an application in the cloud that consists of a database and a website. Users can post data to the website, have the data processed, and have the data sent back to them in an email Data is stored is a MySQL database running on an Amazon EC2 Instance. The database is running in a VPC with two private subnets. The website is running on Apache Tomcat in a single EC2 instance in a different VPC with one public subnet. There is a single VPC peering connection between the database and website VPC. The website has suffered several outages during the last month due to high traffic.

Which actions should a solutions architect take to increase the reliability of the application? (Select THREE)

A. Place the Tomcat server in an Auto Scaling group with multiple EC2 instances behind an Application Load Balancer
B. Provision an additional VPC peering connection
C. Migrate the MySQL database to Amazon Aurora with one Aurora Replica
D. Provision two NAT gateways in the database VPC
E. Move the Tomcat server to the database VPC
F. Create an additional public subnet in a different Availability Zone in the website VPC.

Correct Answer: BCD

QUESTION 8
A company wants to migrate its data analytics environment from on premises to AWS. The environment consists of two simple Node js applications. One of the applications collects sensor data and loads it into a MySQL database. The other application aggregates the data into reports. When the aggregation jobs run, some of the load jobs fail to run correctly.
The company must resolve the data loading issue. The company also needs the migration to occur without interruptions or changes for the company’s customers.

What should a solutions architect do to meet these requirements?

A. Set up an Amazon Aurora MySQL database as a replication target for the on-premises database. Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica Set up collection endpoints as AWS Lambda functions behind a Network Load Balancer (NLB), and use Amazon RDS Proxy to write to the Aurora MySQL database. When the databases are synced, disable the replication job and restart the Aurora Replica as the primary instance. Point the collector DNS record to the NLB.
B. Set up an Amazon Aurora MySQL database. Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora. Move the aggregation jobs to run against the Aurora MySQL database. Set up collection endpoints behind an Application Load Balancer (ALB) as Amazon EC2 instances in an Auto Scaling group. When the databases are synced, point the collector DNS record to the ALB. Disable the AWS DMS syn task after the cutover from on premises to AWS.
C. Set up an Amazon Aurora MySQL database. Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora. Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica Set up collection endpoints as AWS Lambda functions behind an Application Load Balancer (AL B), and use Amazon RDS Proxy to write to the Aurora MySQL database. When the databases are synced, point the collector DNS record to the ALB. Disable the AWS DMS sync task after the cutover from on premises to AWS.
D. Set up an Amazon Aurora MySQL database. Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica. Set up collection endpoints as an Amazon Kinesis data stream. Use Amazon Kinesis Data Firehose to replicate the data to the Aurora MySQL database. When the databases are synced, disable the replication job and restart the Aurora Replica as the primary instance. Point the collector DNS record to the Kinesis data stream.

Correct Answer: C

QUESTION 9
A company wants to allow its Marketing team to perform SQL queries on customer records to identify market segments. The data is spread across hundreds of files. The records must be encrypted in transit and at rest. The Team Manager must have the ability to manage users and groups, but no team members should have access to services or resources not required for the SQL queries. Additionally, Administrators need to audit the queries made and receive notifications when a query violates rules defined by the Security team. AWS Organizations has been used to create a new account and an AWS IAM user with administrator
permissions for the Team Manager.

Which design meets these requirements?

A. Apply a service control policy (SCP) that allows access to IAM, Amazon RDS, and AWS CloudTrail. Load customer records in Amazon RDS MySQL and train users to execute queries using the AWS CLI. Stream the query logs to Amazon CloudWatch Logs from the RDS database instance. use a subscription filter with AWS lambda functions to audit and alarm on queries against personal data.
B. Apply a service control policy (SCP) that denies access to all services except IAM, Amazon Athena, Amazon S3, and AWS CloudTrail. Store customer record files in Amazon S3 and train users to execute queries using the CLI via Athena. Analyze CloudTrail events to audit and alarm on queries against personal data.
C. Apply a service control policy (SCP) that denies to all services except IAM, Amazon DynamoDB, and AWS CloudTrail. Store customer records in DynamoDB and train users to execute queries using the AWS CLI. Enable DynamoDB streams to track the queries that are issued and use an AWS Lambda function for real-time monitoring and alerting.
D. Apply a service control policy (SCP) that allows to IAM, Amazon Athena, Amazon S3, and AWS CloudTrail. Store customer records as files in Amazon S3 and train users to leverage the Amazon S3 Select feature and execute queries using the AWS CLI. Enable S3 object-level logging and analyze CloudTrail events to audit and alarm on queries against personal data.

Correct Answer: B

QUESTION 10
A financial services company loaded millions of historical stock trades into an Amazon DynamoDB table. The table uses on-demand capacity mode. Once each day at midnight, a few million new records are loaded into the table. Application read activity against the table happens in bursts throughout the day, and a limited set of keys are repeatedly looked up. The company needs to reduce costs associated with DynamoDB.

Which strategy should a solutions architect recommend to meet this requirement?

A. Deploy an Amazon ElastiCache cluster in front of the DynamoDB table.
B. Deploy DynamoDB Accelerator (DAX). Configure DynamoDB auto scaling. Purchase Savings Plans in Cost Explorer.
C. Use provisioned capacity mode. Purchase Savings Plans in Cost Explorer.
D. Deploy DynamoDB Accelerator (DAX). Use provisioned capacity mode. Configure DynamoDB auto scaling.

Correct Answer: B

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Last modified: 2021-09-23

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