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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named Sales in an Azure Cosmos DB database. Sales has 120 GB of data. Each entry in Sales has the following structure.

The partition key is set to the OrderId attribute.
Users report that when they perform queries that retrieve data by ProductName, the queries take longer than expected to complete.
You need to reduce the amount of time it takes to execute the problematic queries.
Solution: You create a lookup collection that uses ProductName as a partition key.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
One option is to have a lookup collection "ProductName" for the mapping of "ProductName" to "OrderId".
References:
https://azure.microsoft.com/sv-se/blog/azure-cosmos-db-partitioning-design-patterns-part-1/

NEW QUESTION: 2
DRAG DROP
Select and Place:

Answer:
Explanation:

NEW QUESTION: 3
Versions, scenarios, and simulations are all similar, with some slight differences. What functionality is common to all three?
A. Can use the entire data set for calculations
B. Accessible by 011 users
C. Is stored in the database
D. Can be used in analytics and planning views
Answer: D

NEW QUESTION: 4
What is the preferred method to improve neighbor loss detection in EIGRP?
A. EIGRP natively detects neighbor down immediately, and no additional feature or configuration is required.
B. BFD should be used on interfaces that support it for rapid neighbor loss detection.
C. Fast hellos (one-second hellos) are preferred for EIGRP, so that it learns rapidly through its own mechanisms.
D. Fast hellos (subsecond) are preferred for EIGRP, so that it learns rapidly through its own mechanisms.
Answer: B