Amazon Web Services prepway aws Certified Associate Saa-c03 Release Date by Israel q160 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code:	SAA-C03 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Associate
Questions:	962 Q&A's	Shared By:	israel

Question 60

A company uses AWS Lambda functions in a private subnet in a VPC to run application logic. The Lambda functions must not have access to the public internet. Additionally, all data communication must remain within the private network. As part of a new requirement, the application logic needs access to an Amazon DynamoDB table.

What is the MOST secure way to meet this new requirement?

Options:

Provision the DynamoDB table inside the same VPC that contains the Lambda functions.

Create a gateway VPC endpoint for DynamoDB to provide access to the table.

Use a network ACL to only allow access to the DynamoDB table from the VPC.

Use a security group to only allow access to the DynamoDB table from the VPC.

Discussion

Question 61

A company hosts an application in an Amazon EC2 Auto Scaling group. The company has observed that during periods of high demand, new instances take too long to join the Auto Scaling group and serve the increased demand. The company determines that the root cause of the issue is the long boot time of the instances in the Auto Scaling group. The company needs to reduce the time required to launch new instances to respond to demand. Which solution will meet this requirement?

Options:

Increase the maximum capacity of the Auto Scaling group by 50%.

Create a warm pool for the Auto Scaling group. Use the default specification for the warm pool size.

Increase the health check grace period for the Auto Scaling group by 50%.

Create a scheduled scaling action. Set the desired capacity equal to the maximum capacity of the Auto Scaling group.

Discussion

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Question 62

A media streaming company is redesigning its infrastructure to accommodate increasing demand for video content that users consume daily. The company needs to process terabyte-sized videos to block some content in the videos. Video processing can take up to 20 minutes.

The company needs a solution that is cost-effective, highly available, and scalable.

Which solution will meet these requirements?

Options:

Use AWS Lambda functions to process the videos. Store video metadata in Amazon DynamoDB. Store video content in Amazon S3 Intelligent-Tiering.

Use Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type to implement microservices to process videos. Store video metadata in Amazon Aurora. Store video content in Amazon S3 Intelligent-Tiering.

Use Amazon EMR to process the videos with Apache Spark. Store video content in Amazon FSx for Lustre. Use Amazon Kinesis Data Streams to ingest videos in real time.

Deploy a containerized video processing application on Amazon Elastic Kubernetes Service (Amazon EKS) with the Amazon EC2 launch type. Store video metadata in Amazon RDS in a single Availability Zone. Store video content in Amazon S3 Glacier Deep Archive.

Discussion

Question 63

A company runs an application in a VPC on AWS. The company ' s on-premises data center has a DNS server. The data center is connected to AWS through an AWS Direct Connect connection with a private virtual interface (VIF). The on-premises DNS server needs to resolve the DNS name of the application in the VPC.

Options:

Set up AWS Verified Access endpoints in the VPC. Configure DNS forwarding rules in Verified Access. Configure the on-premises DNS server to forward DNS queries through the Verified Access endpoints.

Configure the Direct Connect connection to enable DNS resolution between the on-premises DNS server and the application in the VPC.

Create an Amazon Route 53 Resolver outbound endpoint and a Resolver rule in the VPC. Configure the on-premises DNS server to send requests for the application to the outbound endpoint.

Create an Amazon Route 53 Resolver inbound endpoint in the VPC. Configure the on-premises DNS server to send requests for the application to the inbound endpoint.