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NEW QUESTION: 1
A customer requires a storage platform for their department data. They have a limited budget and will be sharing files among their Microsoft Windows environment. Which HPE storage platform meets the customer's needs?
A. StoreOnce
B. StoreEasy
C. Nimble
D. 3PAR StoreServ
Answer: B
NEW QUESTION: 2
Your project multiple functions. If this decision is made, your project will be terminated by: to create a new time tracking and accounting system has been put on hold pending a decision to bring in a third party human resources system that will handle
A. Extinction
B. Starvation
C. Subtraction
D. Integration
Answer: A
NEW QUESTION: 3
auto-natは、最初にどれを処理しますか(焦点はauto-natの上にあります)。
A. static nat longest prefix
B. static nat shortest prefix
C. dynamic nat longest prefix
D. dynamic Nat shortest prefix
Answer: A
NEW QUESTION: 4
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 section, you will NOT be able to return to it. As a result, these
questions will not appear in the review screen.
You are designing an Azure SQL Database that will use elastic pools. You plan to store data about
customers in a table. Each record uses a value for CustomerID.
You need to recommend a strategy to partition data based on values in CustomerID.
Proposed Solution: Separate data into shards by using horizontal partitioning.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Horizontal Partitioning - Sharding: Data is partitioned horizontally to distribute rows across a scaled out
data tier. With this approach, the schema is identical on all participating databases. This approach is also
called "sharding". Sharding can be performed and managed using (1) the elastic database tools libraries or
(2) self-sharding. An elastic query is used to query or compile reports across many shards.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-query-overview