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NEW QUESTION: 1
Refer to the exhibit.

Which login credentials are required when connecting to the console port in this output?
A. no username with password linepass
B. none required
C. login authentication default
D. username cisco with password cisco
Answer: B

NEW QUESTION: 2
Which of the following best describes the four components of a balanced scorecard?
A. Business objectives, critical success factors, innovation, and growth.
B. Customers, support, critical success factors, and learning.
C. Financial measures, learning and growth, customers, and internal processes.
D. Customers, innovation, growth, and internal processes.
Answer: C

NEW QUESTION: 3
Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?
A. Perform stale reads using single-read methods.
B. Perform strong reads using single-read methods.
C. Perform stale reads using read-write transactions.
D. Perform Read-Only transactions.
Answer: C
Explanation:
Reference:
https://cloud.google.com/solutions/best-practices-cloud-spanner-gaming-database

NEW QUESTION: 4


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

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