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Amazon Web Services Updated SAP-C02 Exam Questions and Answers by byron

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Amazon Web Services SAP-C02 Exam Overview :

Exam Name: AWS Certified Solutions Architect - Professional
Exam Code: SAP-C02 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Professional
Questions: 562 Q&A's Shared By: byron
Question 60

A company is developing a new serverless API by using Amazon API Gateway and AWS Lambda. The company integrated the Lambda functions with API Gateway to use several shared libraries and custom classes.

A solutions architect needs to simplify the deployment of the solution and optimize for code reuse.

Which solution will meet these requirements?

Options:

A.

Deploy the shared libraries and custom classes into a Docker image. Store the image in an S3 bucket. Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.

B.

Deploy the shared libraries and custom classes to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.

C.

Deploy the shared libraries and custom classes to a Docker container in Amazon Elastic Container Service (Amazon ECS) by using the AWS Fargate launch type. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the deployed container as a Lambda layer.

D.

Deploy the shared libraries, custom classes, and code for the API's Lambda functions to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Configure the API's Lambda functions to use the Docker image as the deployment package.

Discussion
Question 61

A company is planning a one-time migration of an on-premises MySQL database to Amazon Aurora MySQL in the us-east-1 Region. The company's current internet connection has limited bandwidth. The on-premises MySQL database is 60 TB in size The company estimates that it will take a month to transfer the data to AWS over the current internet connection.

The company needs a migration solution that will migrate the database more quickly

Which solution will migrate the database in the LEAST amount of time?

Options:

A.

Request a 1 Gbps AWS Direct Connect connection between the on-premises data center and AWS Use AWS Database Migration Service (AWS DMS) to migrate the on-premises MySQL database to Aurora MySQL.

B.

Use AWS DataSync with the current internet connection to accelerate the data transfer between the on-premises data center and AWS Use AWS Application Migration Service to migrate the on-premises MySQL database to Aurora MySQL.

C.

Order an AWS Snowball Edge Device Load the data into an Amazon S3 bucket by using the S3 interface Use AWS Database Migration Service (AWS DMS) to migrate the data from Amazon S3 to Aurora MySQL

D.

Order an AWS Snowball Device Load the data into an Amazon S3 bucket by usingthe S3 Adapter for Snowball Use AWS Application Migration Service to migrate the data from Amazon S3 to Aurora MySQL.

Discussion
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Question 62

A company is storing data on premises on a Windows file server. The company produces 5 GB of new data daily.

The company migrated part of its Windows-based workload to AWS and needs the data to be available on a file system in the cloud. The company already has established an AWS Direct Connect connection between the on-premises network and AWS.

Which data migration strategy should the company use?

Options:

A.

Use the file gateway option in AWS Storage Gateway to replace the existing Windows file server, and point the existing file share to the new file gateway.

B.

Use AWS DataSync to schedule a daily task to replicate data between the on-premises Windows file server and Amazon FSx.

C.

Use AWS Data Pipeline to schedule a daily task to replicate data between the on-premises Windows file server and Amazon Elastic File System (Amazon EFS).

D.

Use AWS DataSync to schedule a daily task lo replicate data between the on-premises Windows file server and Amazon Elastic File System (Amazon EFS),

Discussion
Question 63

A company uses an on-premises data analytics platform. The system is highly available in a fully redundant configuration across 12 servers in the company's data center.

The system runs scheduled jobs, both hourly and daily, in addition to one-time requests from users.Scheduled jobs can take between 20 minutes and 2 hours to finish running and have tight SLAs. The scheduled jobs account for 65% of the system usage. User jobs typically finish running in less than 5 minutes and have no SLA. The user jobs account for 35% of system usage. During system failures, scheduled jobs must continue to meet SLAs. However, user jobs can be delayed.

A solutions architect needs to move the system to Amazon EC2 instances and adopt a consumption-based model to reduce costs with no long-term commitments. The solution must maintain high availability and must not affect the SLAs.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Split the 12 instances across two Availability Zones in the chosen AWS Region. Run two instances in each Availability Zone as On-Demand Instances with Capacity Reservations. Run four instances in each Availability Zone as Spot Instances.

B.

Split the 12 instances across three Availability Zones in the chosen AWS Region. In one of the Availability Zones, run all four instances as On-Demand Instances with Capacity Reservations. Run the remaining instances as Spot Instances.

C.

Split the 12 instances across three Availability Zones in the chosen AWS Region. Run two instances in each Availability Zone as On-Demand Instances with a Savings Plan. Run two instances in each Availability Zone as Spot Instances.

D.

Split the 12 instances across three Availability Zones in the chosen AWS Region. Run three instances in each Availability Zone as On-Demand Instances with Capacity Reservations. Run one instance in each Availability Zone as a Spot Instance.

Discussion
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