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Latest SAP-C02 Test Sample, Certification SAP-C02 Sample Questions

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q66-Q71):

NEW QUESTION # 66
An events company runs a ticketing platform on AWS. The company's customers configure and schedule their events on the platform The events result in large increases of traffic to the platform The company knows the date and time of each customer's events The company runs the platform on an Amazon Elastic Container Service (Amazon ECS) cluster The ECS cluster consists of Amazon EC2 On-Demand Instances that are in an Auto Scaling group. The Auto Scaling group uses a predictive scaling policy The ECS cluster makes frequent requests to an Amazon S3 bucket to download ticket assets The ECS cluster and the S3 bucket are in the same AWS Region and the same AWS account Traffic between the ECS cluster and the S3 bucket flows across a NAT gateway The company needs to optimize the cost of the platform without decreasing the platform's availability Which combination of steps will meet these requirements? (Select TWO)

A. Add another ECS capacity provider that uses an Auto Scaling group of Spot Instances Configure the new capacity provider strategy to have the same weight as the existing capacity provider strategy
B. Replace the predictive scaling policy with scheduled scaling policies for the scheduled events
C. Create a gateway VPC endpoint for the S3 bucket
D. Create On-Demand Capacity Reservations for the applicable instance type for the time period of the scheduled scaling policies
E. Enable S3 Transfer Acceleration on the S3 bucket

Answer: A,C

Explanation:
Gateway VPC Endpoint for S3:
Create a gateway VPC endpoint for Amazon S3 in your VPC. This allows instances in your VPC to communicate with Amazon S3 without going through the internet, reducing data transfer costs and improving security.
Add Spot Instances to ECS Cluster:
Add another ECS capacity provider that uses an Auto Scaling group of Spot Instances. Configure this new capacity provider to share the load with the existing On-Demand Instances by setting an appropriate weight in the capacity provider strategy. Spot Instances offer significant cost savings compared to On-Demand Instances.
Configure Capacity Provider Strategy:
Adjust the ECS service's capacity provider strategy to utilize both On-Demand and Spot Instances effectively. This ensures a balanced distribution of tasks across both instance types, optimizing cost while maintaining availability.
By implementing a gateway VPC endpoint for S3 and incorporating Spot Instances into the ECS cluster, the company can significantly reduce operational costs without compromising on the availability or performance of the platform.
Reference
AWS Cost Optimization Blog on VPC Endpoints
AWS ECS Documentation on Capacity Providers

NEW QUESTION # 67
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. 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.
B. 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.
C. 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.
D. 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.

Answer: C

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-Pipelines.e24d59bb79a9e24cdba7f43ffd234ec0482a60e2.png

NEW QUESTION # 68
A group of research institutions and hospitals are in a partnership to study 2 PBs of genomic data. The institute that owns the data stores it in an Amazon S3 bucket and updates it regularly.
The institute would like to give all of the organizations in the partnership read access to the data.
All members of the partnership are extremely cost-conscious, and the institute that owns the account with the S3 bucket is concerned about covering the costs for requests and data transfers from Amazon S3.
Which solution allows for secure datasharing without causing the institute that owns the bucket to assume all the costs for S3 requests and data transfers?

A. Ensure that all organizations in the partnership have AWS accounts. In the account with the S3 bucket, create a cross-account role for each account in the partnership that allows read access to the data. Enable Requester Pays on the bucket. Have the organizations assume and use that read role when accessing the data.
B. Ensure that all organizations in the partnership have AWS accounts. Create a bucket policy on the bucket that owns the data. The policy should allow the accounts in the partnership read access to the bucket. Enable Requester Pays on the bucket. Have the organizations use their AWS credentials when accessing the data.
C. Ensure that all organizations in the partnership have AWS accounts. In the account with the S3 bucket, create a cross-account role for each account in the partnership that allows read access to the data. Have the organizations assume and use that read role when accessing the data.
D. Ensure that all organizations in the partnership have AWS accounts. Configure buckets in each of the accounts with a bucket policy that allows the institute that owns the data the ability to write to the bucket. Periodically sync the data from the institute's account to the other organizations. Have the organizations use their AWS credentials when accessing the data using their accounts.

Answer: B

Explanation:
In general, bucket owners pay for all Amazon S3 storage and data transfer costs associated with their bucket. A bucket owner, however, can configure a bucket to be a Requester Pays bucket.
With Requester Pays buckets, the requester instead of the bucket owner pays the cost of the request and the data download from the bucket. The bucket owner always pays the cost of storing data. If you enable Requester Pays on a bucket, anonymous access to that bucket is not allowed.
https://docs.aws.amazon.com/AmazonS3/latest/userguide/RequesterPaysExamples.html

NEW QUESTION # 69
A mobile gaming company is expanding into the global market. The company's game servers run in the us-east-1 Region. The game's client application uses UDP to communicate with the game servers and needs to be able to connect to a set of static IP addresses.
The company wants its game to be accessible on multiple continents. The company also wants the game to maintain its network performance and global availability.
Which solution meets these requirements?

A. Provision an Application Load Balancer (ALB) in front of the game servers Create an Amazon CloudFront distribution that has no geographical restrictions Set the ALB as the origin Perform DNS lookups for the cloudfront net domain name Use the resulting IP addresses in the game's client application.
B. Provision game servers in each AWS Region Provision a Network Load Balancer (NLB) in front of the game servers Create an accelerator in AWS Global Accelerator, and configure endpoint groups in each Region Associate the NLBs with the corresponding Regional endpoint groups Point the game client's application to the Global Accelerator endpoints
C. Provision game servers in each AWS Region Provision a Network Load Balancer (NLB) in front of the game servers Create an Amazon CloudFront distribution that has no geographical restrictions Set the NLB as the origin Perform DNS lookups for the cloudfront net domain name. Use the resulting IP addresses in the game's client application
D. Provision game servers in each AWS Region. Provision an Application Load Balancer in front of the game servers. Create an Amazon Route 53 latency-based routing policy for the game's client application to use with DNS lookups

Answer: B

Explanation:
Explanation
AWS Global Accelerator is a networking service that helps you improve the availability and performance of the applications that you offer to your global users. AWS Global Accelerator is easy to set up, configure, and manage. It provides static IP addresses that provide a fixed entry point to your applications and eliminate the complexity of managing specific IP addresses for different AWS Regions and Availability Zones. AWS Global Accelerator always routes user traffic to the optimal endpoint based on performance, reacting instantly to changes in application health, your user's location, and policies that you configure

NEW QUESTION # 70
A company uses AWS Organizations for a multi-account setup in the AWS Cloud. The company's finance team has a data processing application that uses AWS Lambda and Amazon DynamoDB. The company's marketing team wants to access the data that is stored in the DynamoDB table.
The DynamoDB table contains confidential data. The marketing team can have access to only specific attributes of data in the DynamoDB table. The fi-nance team and the marketing team have separate AWS accounts.
What should a solutions architect do to provide the marketing team with the appropriate access to the DynamoDB table?

A. Create a resource-based IAM policy that includes conditions for spe-cific DynamoDB attributes (fine- grained access control). Attach the policy to the DynamoDB table. In the marketing team's account, create an IAM role that has permissions to access the DynamoDB table in the finance team's account.
B. Create an IAM role in the finance team's account to access the Dyna-moDB table. Use an IAM permissions boundary to limit the access to the specific attributes. In the marketing team's account, create an IAM role that has permissions to assume the IAM role in the finance team's account.
C. Create an IAM role in the finance team's account by using IAM policy conditions for specific DynamoDB attributes (fine-grained access con-trol). Establish trust with the marketing team's account.
In the mar-keting team's account, create an IAM role that has permissions to as-sume the IAM role in the finance team's account.
D. Create an SCP to grant the marketing team's AWS account access to the specific attributes of the DynamoDB table. Attach the SCP to the OU of the finance team.

Answer: A

Explanation:
The company should create a resource-based IAM policy that includes conditions for specific DynamoDB attributes (fine-grained access control). The company should attach the policy to the DynamoDB table. In the marketing team's account, the company should create an IAM role that has permissions to access the DynamoDB table in the finance team's account. This solution will meet the requirements because a resource- based IAM policy is a policy that you attach to an AWS resource (such as a DynamoDB table) to control who can access that resource and what actions they can perform on it. You can use IAM policyconditions to specify fine-grained access control for DynamoDB items and attributes. For example, you can allow or deny access to specific attributes of all items in a table by matching on attribute names1. By creating a resource- based policy that allows access to only specific attributes of the DynamoDB table and attaching it to the table, the company can restrict access to confidential data. By creating an IAM role in the marketing team's account that has permissions to access the DynamoDB table in the finance team's account, the company can enable cross-account access.
The other options are not correct because:
Creating an SCP to grant the marketing team's AWS account access to the specific attributes of the DynamoDB table would not work because SCPs are policies that you can use with AWS Organizations to manage permissions in your organization's accounts. SCPs do not grant permissions; instead, they specify the maximum permissions that identities in an account can have2. SCPs cannot be used to specify fine-grained access control for DynamoDB items and attributes.
Creating an IAM role in the finance team's account by using IAM policy conditions for specific DynamoDB attributes and establishing trust with the marketing team's account would not work because IAM roles are identities that you can create in your account that have specific permissions. You can use an IAM role to delegate access to users, applications, or services that don't normally have access to your AWS resources3.
However, creating an IAM role in the finance team's account would not restrict access to specific attributes of the DynamoDB table; it would only allow cross-account access. The company would still need a resource- based policy attached to the table to enforce fine-grained access control.
Creating an IAM role in the finance team's account to access the DynamoDB table and using an IAM permissions boundary to limit the access to the specific attributes would not work because IAM permissions boundaries are policies that you use to delegate permissions management to other users. You can use permissions boundaries to limit the maximum permissions that an identity-based policy can grant to an IAM entity (user or role)4. Permissions boundaries cannot be used to specify fine-grained access control for DynamoDB items and attributes.
References:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/specifying-conditions.html
https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles.html
https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_boundaries.html

NEW QUESTION # 71
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Samuel Nelson Samuel Nelson

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