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NEW QUESTION: 1
You have a web application leveraging an Elastic Load Balancer (ELB). In front of the web servers deployed using an Auto Scaling Group Your database is running on Relational Database Service (RDS) The application serves out technical articles and responses to them in general there are more views of an article than there are responses to the article. On occasion, an article on the site becomes extremely popular resulting in significant traffic increases that causes the site to go down.
What could you do to help alleviate the pressure on the infrastructure while maintaining availability during these events? (Choose three.)
A. Use SOS to queue up the requests for the technical posts and deliver them out of the queue.
B. Use Route53 health checks to fail over to an S3 bucket for an error page.
C. Leverage CloudFront for the delivery of the articles.
D. Leverage ElastiCache for caching the most frequently used data.
E. Add RDS read-replicas for the read traffic going to your relational database
Answer: C,D,E

NEW QUESTION: 2
Which Azure data storage solution should you recommend for each application? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Health Review: Azure SQL Database
Scenario: ADatum identifies the following requirements for the Health Review application:
* Ensure that sensitive health data is encrypted at rest and in transit.
* Tag all the sensitive health data in Health Review. The data will be used for auditing.
Health Interface: Azure Cosmos DB
ADatum identifies the following requirements for the Health Interface application:
* Upgrade to a data storage solution that will provide flexible schemas and increased throughput for writing data. Data must be regionally located close to each hospital, and reads must display be the most recent committed version of an item.
* Reduce the amount of time it takes to add data from new hospitals to Health Interface.
* Support a more scalable batch processing solution in Azure.
* Reduce the amount of development effort to rewrite existing SQL queries.
Health Insights: Azure SQL Data Warehouse
Azure SQL Data Warehouse is a cloud-based enterprise data warehouse that leverages massively parallel processing (MPP) to quickly run complex queries across petabytes of data. Use SQL Data Warehouse as a key component of a big data solution.
You can access Azure SQL Data Warehouse (SQL DW) from Databricks using the SQL Data Warehouse connector (referred to as the SQL DW connector), a data source implementation for Apache Spark that uses Azure Blob Storage, and PolyBase in SQL DW to transfer large volumes of data efficiently between a Databricks cluster and a SQL DW instance.
Scenario: ADatum identifies the following requirements for the Health Insights application:
* The new Health Insights application must be built on a massively parallel processing (MPP) architecture that will support the high performance of joins on large fact tables References:
https://docs.databricks.com/data/data-sources/azure/sql-data-warehouse.html

NEW QUESTION: 3
The shared Ethernet adopts ( ) protocol to support bus type architecture
A. ICMP
B. ARP
C. CSMA/CD
D. SPX
Answer: C

NEW QUESTION: 4
You implement an application by using HTML5 and JavaScript. You create a webpage that contains the following HTML:

The application must place a border on only the first UL element that is contained in the
DIV element.
You need to update the webpage.
What should you do?

A. Option B
B. Option A
C. Option D
D. Option C
Answer: C
Explanation:
Example:
CSS File:
ul {
border: 1px solid black;
}
Inline CSS:
< ul class="container" style="border: 1px solid black">