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NEW QUESTION 23
A company stores call recordings on a monthly basis. Statistically, the recorded data may be referenced randomly within a year but accessed rarely after 1 year. Files that are newer than 1 year old must be queried and retrieved as quickly as possible. A delay in retrieving older files is acceptable. A solutions architect needs to store the recorded data at a minimal cost.
Which solution is MOST cost-effective?

  • A. Archive individual files in Amazon S3. Use lifecycle policies to move the files to Amazon S3 Glacier after 1 year. Store search metadata in Amazon DynamoDB. Query the files from DynamoDB and retrieve them from Amazon S3 or S3 Glacier.
  • B. Archive individual files and store search metadata for each archive in Amazon S3. Use lifecycle policies to move the files to Amazon S3 Glacier after 1 year. Query and retrieve the files by searching for metadata from Amazon S3.
  • C. Store individual files in Amazon S3. Use lifecycle policies to move the files to Amazon S3 Glacier after1 year. Query and retrieve the files from Amazon S3 or S3 Glacier.
  • D. Store individual files in Amazon S3 Glacier and store search metadata in object tags created in S3 Glacier Query S3 Glacier tags and retrieve the files from S3 Glacier.

Answer: C

 

NEW QUESTION 24
A company hosts an online shopping application that stores all orders in an Amazon RDS for PostgreSQL Single-AZ DB instance Management wants to eliminate single points of failure and has asked a solutions architect to recommend an approach to minimize database downtime without requiring any changes to the application code
Which solution meets these requirements?

  • A. Create a new RDS Multi-AZ deployment Take a snapshot of the current RDS instance and restore the new Multi-AZ deployment with the snapshot
  • B. Place the RDS for PostgreSQL database in an Amazon EC2 Auto Scaling group with a minimum group size of two Use Amazon Route 53 weighted record sets to distribute requests across instances
  • C. Convert the existing database instance to a Multi-AZ deployment by modifying the database instance and specifying the Multi-AZ option
  • D. Create a read-only replica of the PostgreSQL database m another Availability Zone Use Amazon Route 53 weighted record sets to distribute requests across the databases

Answer: C

 

NEW QUESTION 25
A solutions architect is creating a new VPC design. There are two public subnets for the load balancer, two private subnets for web servers, and two private subnets for MySQL. The web servers use only HTTPS. The solutions architect has already created a security group for the load balancer allowing port 443 from 0.0.0.0/0.
Company policy requires that each resource has the least access required to still be able to perform its tasks.
Which additional configuration strategy should the solutions architect use to meet these requirements?

  • A. Create a network ACL for the web servers and allow port 443 from the load balancer. Create a network ACL for the MySQL servers and allow port 3306 from the web servers security group.
  • B. Create a network ACL for the web servers and allow port 443 from 0.0.0.0/0. Create a network ACL for the MySQL servers and allow port 3306 from the web servers security group.
  • C. Create a security group for the web servers and allow port 443 from 0.0.0.0/0. Create a security group (or the MySQL servers and allow port 3306 from the web servers security group.
  • D. Create a security group for the web servers and allow port 443 from the load balancer. Create a security group for the MySQL servers and allow port 3306 from the web servers security group.

Answer: D

 

NEW QUESTION 26
A company created and hosts a legacy software application for its customers. The application runs on a dedicated Linux server for each customer. The application stores no persistent data except for MySQL data.
The company experienced some data corruption issues in the past and wants to move the application to AWS. The company needs to implement a solution to optimize the stability of the application. The solution also must give the company the ability to restore a customer's database to a specific point in time. The company will migrate customer data by using AWS Database Migration Service (AWS DMS).
Which architecture should a solutions architect recommend to meet these requirements?

  • A. Set up a shared Amazon Aurora database. Create an Amazon EC2 Amazon Machine Image (AMI) for each customer. Use the AMI to launch the application.
  • B. Set up a shared Amazon Aurora database. Configure an Amazon EC2 launch template for each customer.
  • C. Set up an Amazon RDS database for each customer Deploy the application by using an Amazon EC2 launch template. Use user data to configure the customer-specific data.
  • D. Set up an Amazon RDS database and an Amazon EC2 instance for each customer. Download the installation script. Run the script to install and configure the application.

Answer: D

 

NEW QUESTION 27
A company captures clickstream data from multiple websites and analyzes it using batch processing. The data is loaded nightly into Amazon Redshift and is consumed by business analysts. The company wants to move towards near-real-time data processing for timely insights. The solution should process the streaming data with minimal effort and operational overhead.
Which combination of AWS services are MOST cost-effective for this solution? (Choose two.)

  • A. AWS Lambda
  • B. Amazon Kinesis Data Streams
  • C. Amazon EC2
  • D. Amazon Kinesis Data Firehose
  • E. Amazon Kinesis Data Analytics

Answer: B,E

Explanation:
Explanation
Kinesis Data Streams and Kinesis Client Library (KCL) - Data from the data source can be continuously captured and streamed in near real-time using Kinesis Data Streams.
With the Kinesis Client Library (KCL), you can build your own application that can preprocess the streaming data as they arrive and emit the data for generating incremental views and downstream analysis.
Kinesis Data Analytics - This service provides the easiest way to process the data that is streaming through Kinesis Data Stream or Kinesis Data Firehose using SQL. This enables customers to gain actionable insight in near real-time from the incremental stream before storing it in Amazon S3.

https://d1.awsstatic.com/whitepapers/lambda-architecure-on-for-batch-aws.pdf

 

NEW QUESTION 28
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