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NEW QUESTION: 1
Testing has indicated there are performance issues with the user interface.
You need to recommend methods to improve the performance of the user interface.
What should you recommend? To answer, drag the appropriate technologies to the correct user interface components. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each connect selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Azure Search Index
In Azure Search, an index is a persistent store of documents and other constructs used by an Azure Search service. A document is a single unit of searchable data in your index. For example, an e-commerce retailer might have a document for each item they sell, a news organization might have a document for each article, and so forth. Mapping these concepts to more familiar database equivalents: an index is conceptually similar to a table, and documents are roughly equivalent to rows in a table.
When you add/upload documents and submit search queries to Azure Search, you submit your requests to a specific index in your search service.
Scenario: Document Inventory: This page shows a list of all processed documents provided by a customer.
The page can be configured to show documents for a selected category.
Box 2: Azure Cosmos DB Index
Azure Cosmos DB supports indexing and querying of geospatial point data that's represented using the GeoJSON specification. GeoJSON data structures are always valid JSON objects, so they can be stored and queried using Azure Cosmos DB without any specialized tools or libraries. The Azure Cosmos DB SDKs provide helper classes and methods that make it easy to work with spatial data.
Scenario: The solution uses Cosmos DB for data storage.
Document Upload Sources: This page shows a map and information about the geographic distribution of uploaded documents. This page allows users to filter the map based on assigned categories.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-what-is-an-index

NEW QUESTION: 2
An organization is setting up a data catalog and metadata management environment for their numerous data stores currently running on AWS. The data catalog will be used to determine the structure and other attributes of data in the data stores. The data stores are composed of Amazon RDS databases, Amazon Redshift, and CSV files residing on Amazon S3. The catalog should be populated on a scheduled basis, and minimal administration is required to manage the catalog.
How can this be accomplished?
A. Set up Amazon DynamoDB as the data catalog and run a scheduled AWS Lambda function that connects to data sources to populate the database.
B. Set up Apache Hive metastore on an Amazon EC2 instance and run a scheduled bash script that connects to data sources to populate the metastore.
C. Use AWS Glue Data Catalog as the data catalog and schedule crawlers that connect to data sources to populate the database.
D. Use an Amazon database as the data catalog and run a scheduled AWS Lambda function that connects to data sources to populate the database.
Answer: C

NEW QUESTION: 3
Assuming EMP_ROW and NEW_HIRE have the same user-defined row data type, what is the best way to assign the elements of NEW_HIRE to EMP_ROW?
A. SET emp_row.* = new_hire.*;
B. SET emp_row = new_hire;
C. emp_row.rowid = new_hire.rowid;
D. emp_row.all = new_hire.all;
Answer: B