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NEW QUESTION: 1

A. Option D
B. Option C
C. Option B
D. Option A
Answer: C
Explanation:

NEW QUESTION: 2
Which settings can you configure per order type for the budget and availability control?
There are TWO correct answers for this question
Response:
A. Budget data entry layout
B. Budget tolerance limits
C. Design budget manager
D. Budgeting on cost element level
Answer: B,D

NEW QUESTION: 3
You need to identify the storage requirements for Contoso.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE:Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Statement 1: Yes
Contoso is moving the existing product blueprint files to Azure Blob storage which will ensure that the blueprint files are stored in the archive storage tier.
Use unmanaged standard storage for the hard disks of the virtual machines. We use Page Blobs for these.
Statement 2: No
Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud. Azure tables are ideal for storing structured, non-relational data. Common uses of Table storage include:
1. Storing TBs of structured data capable of serving web scale applications
2. Storing datasets that don't require complex joins, foreign keys, or stored procedures and can be denormalized for fast access
3. Quickly querying data using a clustered index
4. Accessing data using the OData protocol and LINQ queries with WCF Data Service .NET Libraries Statement 3: No File Storage can be used if your business use case needs to deal mostly with standard File extensions like
*.docx, *.png and *.bak then you should probably go with this storage option.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-data-to-azure-blob-us
https://docs.microsoft.com/en-us/azure/storage/tables/table-storage-overview
https://www.serverless360.com/blog/azure-blob-storage-vs-file-storage