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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Accelerate workload migration and modernization	20%
Design solutions for organizational complexity	26%
Continuous improvement for existing solutions	25%
Design for new solutions	29%

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q76-Q81):

NEW QUESTION # 76
A company provides a centralized Amazon EC2 application hosted in a single shared VPC The centralized application must be accessible from client applications running in the VPCs of other business units The centralized application front end is configured with a Network Load Balancer (NLB) for scalability Up to 10 business unit VPCs will need to be connected to the shared VPC Some ot the business unit VPC CIDR blocks overlap with the shared VPC and some overlap with each other Network connectivity to the centralized application in the shared VPC should be allowed from authorized business unit VPCs only Which network configuration should a solutions architect use to provide connectivity from the client applications in the business unit VPCs to the centralized application in the shared VPC?

A. Create a VPC endpoint service using the centralized application NLB and enable the option to require endpoint acceptance Create a VPC endpoint in each of the business unit VPCs using the service name of the endpoint service. Accept authorized endpoint requests from the endpoint service console.
B. Create an AWS Transit Gateway Attach the shared VPC and the authorized business unit VPCs to the transit gateway Create a single transit gateway route table and associate it with all of the attached VPCs Allow automatic propagation of routes from the attachments into the route table Configure VPC routing tables to send traffic to the transit gateway
C. Configure a virtual private gateway for the shared VPC and create customer gateways for each of the authorized business unit VPCs Establish a Site-to-Site VPN connection from the business unit VPCs to the shared VPC Configure VPC routing tables to send traffic to the VPN connection
D. Create a VPC peering connection from each business unit VPC to the shared VPC Accept the VPC peering connections from the shared VPC console Configure VPC routing tables to send traffic to the VPC peering connection

Answer: A

Explanation:
Create VPC Endpoint Service:
In the shared VPC, create a VPC endpoint service using the Network Load Balancer (NLB) that fronts the centralized application.
Enable the option to require endpoint acceptance to control which business unit VPCs can connect to the service.
Set Up VPC Endpoints in Business Unit VPCs:
In each business unit VPC, create a VPC endpoint that points to the VPC endpoint service created in the shared VPC.
Use the service name of the endpoint service created in the shared VPC for configuration.
Accept Endpoint Requests:
From the VPC endpoint service console in the shared VPC, review and accept endpoint connection requests from authorized business unit VPCs. This ensures that only authorized VPCs can access the centralized application.
Configure Routing:
Update the route tables in each business unit VPC to direct traffic destined for the centralized application through the VPC endpoint.
This solution ensures secure, private connectivity between the business unit VPCs and the shared VPC, even if there are overlapping CIDR blocks. It leverages AWS PrivateLink and VPC endpoints to provide scalable and controlled access (AWS Documentation) (Amazon Web Services, Inc.).

NEW QUESTION # 77
To comply with regulations, a company needs a solution to ensure that critical Amazon S3 objects always remain accessible and independently verifiable. The company must also validate object checksums.
The company encrypts the objects by using server-side encryption with customer-provided keys (SSE-C). The solution must provide automated, near real-time synchronization of objects across multiple geographic locations. The company has already created a second S3 bucket in a second AWS Region.
Which solutions will meet these requirements? (Choose two.)

A. Create an AWS Storage Gateway S3 File Gateway to synchronize S3 buckets across Regions to provide independent access in each Region.
B. Create an AWS Lambda function to replicate objects across both Regions and to perform integrity checks. Configure an S3 event notification to invoke the Lambda function.
C. Configure Amazon S3 Cross-Region Replication (CRR) on the source S3 bucket with replication integrity checks.
D. Use AWS DataSync to transfer the contents of the original S3 bucket to the bucket in the second Region.
E. Use AWS Snowball Edge devices to periodically transfer data from the original S3 bucket to the bucket in the second Region.

Answer: B,C

Explanation:
Amazon S3 Cross-Region Replication supports objects encrypted with SSE-C and provides automated replication to a bucket in another Region. For near real-time replication, S3 Replication Time Control can replicate 99.99% of new objects within 15 minutes, and S3 replication also supports replication metrics and event notifications to monitor replication status.
To satisfy the checksum-validation requirement for SSE-C objects, a custom event-driven workflow is needed. Amazon S3 Batch Operations Compute checksum does not support SSE-C encrypted objects, and AWS DataSync cannot access SSE-C buckets. An AWS Lambda function triggered by S3 event notifications can copy the object to the second-Region bucket by supplying the required SSE-C headers and can validate integrity as part of the replication logic, giving automated near real-time synchronization and independent access in both Regions.

NEW QUESTION # 78
A data analytics company has an Amazon Redshift cluster that consists of several reserved nodes. The cluster is experiencing unexpected bursts of usage because a team of employees is compiling a deep audit analysis report. The queries to generate the report are complex read queries and are CPU intensive. Business requirements dictate that the cluster must be able to service read and write queries at all times. A solutions architect must devise a solution that accommodates the bursts of usage.
Which solution meets these requirements MOST cost-effectively?

A. Deploy an AWS Lambda function to add capacity to the Amazon Redshift cluster by using a classic resize operation when the duster's CPU metrics in Amazon CloudWatch reach 80%.
B. Turn on the Concurrency Scaling feature for the Amazon Redshift duster
C. Deploy an AWS Lambda function to add capacity to the Amazon Redshift duster by using an elastic resize operation when the duster's CPU metrics in Amazon CloudWatch leach 80%.
D. Provision an Amazon EMR duster Offload the complex data processing tasks

Answer: B

Explanation:
Support virtually unlimited concurrent users and concurrent queries, with consistently fast query performance.
When you turn on concurrency scaling, Amazon Redshift automatically adds additional cluster capacity to process an increase in both read and write queries.
Users see the most current data, whether the queries run on the main cluster or a concurrency- scaling cluster. You're charged for concurrency-scaling clusters only for the time they're actively running queries.
https://docs.aws.amazon.com/redshift/latest/dg/concurrency-scaling.html

NEW QUESTION # 79
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?

A. automatically scale to a single instance when the SOS 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.
B. 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 SOS queue to process the records, writing the results to a temporary location in Amazon S3. Trigger a final Lambda function once the SOS queue is empty to transform the records into JSON format and send the results to another S3 bucket for internal processing.
C. 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.
D. Tigger an AWS Lambda function on file delivery that extracts each record and wntes it to an Amazon SOS queue. Configure an AWS Fargate container application to
E. 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.

Answer: A

Explanation:
Explanation
You can use a Glue crawler to populate the AWS Glue Data Catalog with tables. The Lambda function can be triggered using S3 event notifications when object create events occur. The Lambda function will then trigger the Glue ETL job to transform the records masking the sensitive data and modifying the output format to JSON. This solution meets all requirements.
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.
https://docs.aws.amazon.com/glue/latest/dg/trigger-job.html
https://d1.awsstatic.com/Products/product-name/diagrams/product-page-diagram_Glue_Event-driven-ETL-Pipel

NEW QUESTION # 80
A company is migrating its on-premises file transfer solution to AWS Transfer Family. The on- premises host includes an SFTP server to receive files, an application that performs a transformation of the flies, and a messaging server. The transformations run every 5 minutes.
When a transformation is complete, the application sends a message to a queue on the messaging server.
The company needs to simplify the solution and reduce the management of the components.
What should the company do to meet these requirements with the LEAST operational overhead?

A. Configure Transfer Family to use Amazon S3 storage. Use Amazon EMR to perform the transformations. Configure Amazon EMR to send a message to an Amazon SNS topic when a file has been transformed.
B. Configure Transfer Family to use Amazon EFS storage. Create an AWS Glue time-based job to run every 5 minutes to initiate an AWS Glue transformation. Configure AWS Glue to send a message to an Amazon SQS queue when a file has been transformed.
C. Configure Transfer Family to use Amazon EFS storage. Use a cron job on Amazon EFS to perform the transformations. Configure the cron job to publish a message to an Amazon SNS topic when a file has been transformed.
D. Configure Transfer Family to use Amazon S3 storage. Use AWS Glue to perform the transformations after S3 event notifications. Configure AWS Glue to send a message to an Amazon SQS queue when a file has been transformed.

Answer: D

Explanation:
Transfer Family can drop files straight into S3. An S3 put event can trigger an AWS Glue job to run the transformation immediately (no cron to manage). Glue can then publish to SQS. This is fully managed and event-driven, minimizing operational overhead.

NEW QUESTION # 81
......

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