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NEW QUESTION 54
A company runs its production workload on an Amazon Aurora MySQL DB cluster that includes six Aurora Replicas. The company wants near-real-lime reporting queries from one of its departments to be automatically distributed across three of the Aurora Replicas. Those three replicas have a different compute and memory specification from the rest of the DB cluster.
Which solution meets these requirements?

A. Create and use a custom endpoint for the workload.B. Use any of the instance endpoints for the selected three nodes.C. Create a three-node cluster clone and use the reader endpoint.D. Use the reader endpoint to automatically distribute the read-only workload.

Answer: C

 

NEW QUESTION 55
A web design company currently runs several FTP servers that their 250 customers use to upload and download large graphic files They wish to move this system to AWS to make it more scalable, but they wish to maintain customer privacy and Keep costs to a minimum.
What AWS architecture would you recommend?

A. Create a single S3 bucket with Reduced Redundancy Storage turned on and ask their customers to use an S3 client instead of an FTP client Create a bucket for each customer with a Bucket Policy that permits access only to that one customer.B. Create a single S3 bucket with Requester Pays turned on and ask their customers to use an S3 client instead of an FTP client Create a bucket tor each customer with a Bucket Policy that permits access only to that one customer.C. ASK their customers to use an S3 client instead of an FTP client. Create a single S3 bucket Create an IAM user for each customer Put the IAM Users in a Group that has an IAM policy that permits access to sub-directories within the bucket via use of the 'username' Policy variable.D. Create an auto-scaling group of FTP servers with a scaling policy to automatically scale-in when minimum network traffic on the auto-scaling group is below a given threshold. Load a central list of ftp users from S3 as part of the user Data startup script on each Instance.

Answer: C

 

NEW QUESTION 56
Amazon RDS supports SOAP only through __________.

A. TCP/IPB. HTTPC. HTTP or HTTPSD. HTTPS

Answer: D

 

NEW QUESTION 57
A company is launching an application that it expects to be very popular. The company needs a database that can scale with the rest of the application. The schema will change frequently. The application cannot afford any downtime for database changes.
Which AWS service allows the company to achieve these objectives?

A. Amazon AuroraB. Amazon DynamoDBC. Amazon RedshiftD. Amazon RDS MySQL

Answer: B

Explanation:
DynamoDB a NoSQL DB which means you can change the schema easily. It's also the only DB in the list that you can scale without any downtime Amazon Aurora, RDS MySQL and RedShift all require changing instance sizes in order to scale which causes an outage. They are also all relational databases (SQL) so changing the schema is difficult.
References: https://digitalcloud.training/certification-training/aws-solutions-architect- associate/database/amazon-dynamodb/

 

NEW QUESTION 58
Your company is in the process of developing a next generation pet collar that collects biometric information to assist families with promoting healthy lifestyles for their pets. Each collar will push 30kb of biometric data in JSON format every 2 seconds to a collection platform that will process and analyze the data providing health trending information back to the pet owners and veterinarians via a web portal.
Management has tasked you to architect the collection platform ensuring the following requirements are met.
Provide the ability for real-time analytics of the inbound biometric data

Ensure processing of the biometric data is highly durable. Elastic and parallel

The results of the analytic processing should be persisted for data mining

Which architecture outlined below win meet the initial requirements for the collection platform?

A. Utilize EMR to collect the inbound sensor data, analyze the data from EUR with Amazon Kinesis and save me results to DynamoDB.B. Utilize SQS to collect the inbound sensor data analyze the data from SQS with Amazon Kinesis and save the results to a Microsoft SQL Server RDS instance.C. Utilize Amazon Kinesis to collect the inbound sensor data, analyze the data with Kinesis clients and save the results to a Redshift cluster using EMR.D. Utilize S3 to collect the inbound sensor data analyze the data from S3 with a daily scheduled Data Pipeline and save the results to a Redshift Cluster.

Answer: C

 

NEW QUESTION 59
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