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NEW QUESTION 50
A web application is deployed in the AWS Cloud It consists of a two-tier architecture that includes a web layer and a database layer.
The web server is vulnerable to cross-site scripting (XSS) attacks.
What should a solutions architect do to remediate the vulnerability?
- A. Create a Network Load Balancer.
Put the web layer behind the load balancer and enable AWS WAF. - B. Create a Classic Load Balancer.
Put the web layer behind the load balancer and enable AWS WAF. - C. Create an Application Load Balancer.
Put the web layer behind the load balancer and enable AWS WAF. - D. Create an Application Load Balancer.
Put the web layer behind the load balancer and use AWS Shield Standard.
Answer: C
NEW QUESTION 51
An application runs on Amazon EC2 instances across multiple Availability Zones. The instances run in an Amazon EC2 Auto Scaling group behind an Application Load Balancer The application performs best when the CPU utilization of the EC2 instances is at or near 40%.
What should a solutions architect do to maintain the desired performance across all instances in the group?
- A. Amazon DynamoDB global tables
- B. Amazon RDS for MySQL with a cross-Region snapshot copy
- C. Use a simple scaling policy to dynam
- D. Amazon RDS for MySQL with Multi-AZ enabled
Answer: C
NEW QUESTION 52
A company is hosting its website by using Amazon EC2 instances behind an Elastic Load balancer across multiple Availability Zones. The instances run in an EC2 Scaling group. The website uses Amazon Elastic Block Store (Amazon EBS) volume to store product manuals for users to download. The company updates the product content often, so new instances launched by the Auto Scaling group often have data. It can take to 30 minutes for the new instances to receive all the updates. The updates also require the EBS volumes to be resized during business hours.
The company wants to ensure that the product manuals are always up to data on all instances and that the architecture adjusts quickly to increased user demand. A solutions architect needs to meet these requirements without causing the company lo update Its application code or adjust its website What should the solutions architect do to accomplish this goal?
- A. Store the product manuals in an Amazon Elastic File System (Amazon EFS) volume. Mount that volume to the EC2 instances
- B. Store the product manuals in an Amazon S3 Standard-Infrequent Access (S3 Standard-IA) bucket.
Redirect the downloads to this bucket - C. Store the product manuals in an Amazon S3 bucket Redirect the downloads to this bucket
- D. Store the product manuals in an EBS volume Mount that volume to the EC2 instances
Answer: A
NEW QUESTION 53
A solutions architect is deploying a distributed database on multiple Amazon EC2 instances.
The database stores all data on multiple instances so it can withstand the loss of an instance.
The database requires block storage with latency and throughput to support several million transactions per second per server.
Which storage solution should the solutions architect use?
- A. Amazon EBS
- B. Amazon EFS
- C. Amazon S3
- D. Amazon EC2 instance store
Answer: D
Explanation:
It is block storage made for high trough put and low latency.
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html
NEW QUESTION 54
A company runs an online marketplace web application on AWS. The application serves hundreds of thousands of users during peak hours. The company needs a scalable, near-real- time solution to share the details of millions of financial transactions with several other internal applications. Transactions also need to be processed to remove sensitive data before being stored in a document database for low-latency retrieval.
What should a solutions architect recommend to meet these requirements?
- A. Store the transactions data into Amazon DynamoDB.
Set up a rule in DynamoDB to remove sensitive data from every transaction upon write.
Use DynamoDB Streams to share the transactions data with other applications. - B. Store the batched transactions data in Amazon S3 as files.
Use AWS Lambda to process every file and remove sensitive data before updating the files in Amazon S3.
The Lambda function then stores the data in Amazon DynamoDB.
Other applications can consume transaction files stored in Amazon S3. - C. Stream the transactions data into Amazon Kinesis Data Firehose to store data in Amazon DynamoDB and Amazon S3.
Use AWS Lambda integration with Kinesis Data Firehose to remove sensitive data.
Other applications can consume the data stored in Amazon S3. - D. Stream the transactions data into Amazon Kinesis Data Streams.
Use AWS Lambda integration to remove sensitive data from every transaction and then store the transactions data in Amazon DynamoDB.
Other applications can consume the transactions data off the Kinesis data stream.
Answer: C
NEW QUESTION 55
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