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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q89-Q94):

NEW QUESTION # 89
A company has developed an application that is running Windows Server on VMware vSphere VMs that the company hosts on premises. The application data is stored in a proprietary format that must be read through the application. The company manually provisioned the servers and the application.
As part of its disaster recovery plan, the company wants the ability to host its application on AWS temporarily if the company's on-premises environment becomes unavailable. The company wants the application to return to on-premises hosting after a disaster recovery event is complete. The RPO is 5 minutes.
Which solution meets these requirements with the LEAST amount of operational overhead?

A. Configure AWS Elastic Disaster Recovery. Replicate the data to replication Amazon EC2 instances that are attached to Amazon Elastic Block Store (Amazon EBS) volumes. When the on- premises environment is unavailable, use Elastic Disaster Recovery to launch EC2 instances that use the replicated volumes.
B. Configure AWS DataSync. Replicate the data to Amazon Elastic Block Store (Amazon EBS) volumes. When the on-premises environment is unavailable, use AWS CloudFormation templates to provision Amazon EC2 instances and attach the EBS volumes.
C. Provision an Amazon FSx for Windows File Server file system on AWS. Replicate the data to the file system. When the on-premises environment is unavailable, use AWS CloudFormation templates to provision Amazon EC2 instances and use AWS::CloudFormation::Init commands to mount the Amazon FSx file shares.
D. Provision an AWS Storage Gateway file gateway. Replicate the data to an Amazon S3 bucket.
When the on-premises environment is unavailable, use AWS Backup to restore the data to Amazon Elastic Block Store (Amazon EBS) volumes and launch Amazon EC2 instances from these EBS volumes.

Answer: A

Explanation:
https://aws.amazon.com/disaster-recovery/

NEW QUESTION # 90
A company manufactures smart vehicles. The company uses a custom application to collect vehicle data. The vehicles use the MQTT protocol to connect to the application.
The company processes the data in 5-minute intervals. The company then copies vehicle telematics data to on-premises storage. Custom applications analyze this data to detect anomalies.
The number of vehicles that send data grows constantly. Newer vehicles generate high volumes of data. The on-premises storage solution is not able to scale for peak traffic, which results in data loss. The company must modernize the solution and migrate the solution to AWS to resolve the scaling challenges.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS IOT Greengrass to send the vehicle data to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Create an Apache Kafka application to store the data in Amazon S3. Use a pretrained model in Amazon SageMaker to detect anomalies.
B. Use AWS IOT Core to receive the vehicle data. Configure rules to route data to an Amazon Kinesis Data Firehose delivery stream that stores the data in Amazon S3. Create an Amazon Kinesis Data Analytics application that reads from the delivery stream to detect anomalies.
C. Use AWS IOT FleetWise to collect the vehicle data. Send the data to an Amazon Kinesis data stream.
Use an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Use the built-in machine learning transforms in AWS Glue to detect anomalies.
D. Use Amazon MQ for RabbitMQ to collect the vehicle data. Send the data to an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Use Amazon Lookout for Metrics to detect anomalies.

Answer: B

Explanation:
Explanation
Using AWS IoT Core to receive the vehicle data will enable connecting the smart vehicles to the cloud using the MQTT protocol1. AWS IoT Core is a platform that enables you to connect devices to AWS Services and other devices, secure data and interactions, process and act upon device data, and enable applications to interact with devices even when they are offline2. Configuring rules to route data to an Amazon Kinesis Data Firehose delivery stream that stores the data in Amazon S3 will enable processing and storing the vehicle data in a scalable and reliable way3. Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon S3. Creating an Amazon Kinesis Data Analytics application that reads from the delivery stream to detect anomalies will enable analyzing the vehicle data using SQL queries or Apache Flink applications. Amazon Kinesis Data Analytics is a fully managed service that enables you to process and analyze streaming data using SQL or Java.

NEW QUESTION # 91
A solutions architect needs to implement a client-side encryption mechanism for objects that will be stored in a new Amazon S3 bucket. The solutions architect created a CMK that is stored in AWS Key Management Service (AWS KMS) for this purpose.
The solutions architect created the following IAM policy and attached it to an IAM role:

During tests, me solutions architect was able to successfully get existing test objects m the S3 bucket However, attempts to upload a new object resulted in an error message. The error message stated that me action was forbidden.
Which action must me solutions architect add to the IAM policy to meet all the requirements?

A. KmsGetKeyPolpcy
B. kmsGetPubKKey
C. Kms:GenerateDataKey
D. kms:SKjn

Answer: C

Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/s3-access-denied-error-kms/
"An error occurred (AccessDenied) when calling the PutObject operation: Access Denied" This error message indicates that your IAM user or role needs permission for the kms:GenerateDataKey action.

NEW QUESTION # 92
An ecommerce company runs its infrastructure on AWS. The company exposes its APIs to its web and mobile clients through an Application Load Balancer (ALB) in front of an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The EKS cluster runs thousands of pods that provide the APIs.
After extending delivery to a new continent, the company adds an Amazon CloudFront distribution and sets the ALB as the origin. The company also adds AWS WAF to its architecture.
After implementation of the new architecture, API calls are significantly. However, there is a sudden increase in HTTP status code 504 (Gateway Timeout) errors and HTTP status code 502 (Bad Gateway) errors. This increase in errors seems to be for a specific domain.
Which factors could be a cause of these errors? (Select TWO.)

A. There is an SSL/TLS handshake issue between CloudFront and the origin.
B. Some pods are taking more than 30 seconds to answer API calls.
C. AWS WAF is blocking suspicious requests.
D. EKS Kubernetes pods are being cycled.
E. The origin is not properly configured in CloudFront.

Answer: B,C

NEW QUESTION # 93
A company is planning to host a web application on AWS and works to load balance the traffic across a group of Amazon EC2 instances.
One of the security requirements is to enable end-to-end encryption in transit between the client and the web server.
Which solution will meet this requirement?

A. Place the EC2 instances behind an Application Load Balancer (ALB).
Provision an SSL certificate using AWS Certificate Manager (ACM), and associate the SSL certificate with the ALB.
Export the SSL certificate and install it on each EC2 instance.
Configure the ALB to listen on port 443 and to forward traffic to port 443 on the instances.
B. Place the EC2 instances behind an Application Load Balancer (ALB).
Provision an SSL certificate using AWS Certificate Manager (ACM), and associate the SSL certificate with the ALB.
Provision a third-party SSL certificate and install it on each EC2 instance.
Configure the ALB to listen on port 443 and to forward traffic to port 443 on the instances.
C. Place the EC2 instances behind a Network Load Balancer (NLB).
Provision a third-party SSL certificate and install it on the NLB and on each EC2 instance.
Configure the NLB to listen on port 443 and to forward traffic to port 443 on the instances.
D. Associate the EC2 instances with a target group.
Provision an SSL certificate using AWS Certificate Manager (ACM).
Create an Amazon CloudFront distribution and configure It to use the SSL certificate.
Set CloudFront to use the target group as the origin server

Answer: B

Explanation:
They can place the EC2 instances behind an Application Load Balancer (ALB), provision an SSL certificate using AWS Certificate Manager (ACM), and associate the SSL certificate with the ALB.
They can also provision a third-party SSL certificate and install it on each EC2 instance. Finally, they can configure the ALB to listen on port 443 and to forward traffic to port 443 on the instances. This will ensure that traffic is encrypted both between the client and the ALB, and between the ALB and the EC2 instances.

NEW QUESTION # 94
......

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Exam SAP-C02 Simulator & SAP-C02 Exam Online

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q89-Q94):

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