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Oracle Exam 1Z0-1091-22 Topic 5 Question 37 Discussion

Actual exam question for Oracle's 1Z0-1091-22 exam
Question #: 37
Topic #: 5
[All 1Z0-1091-22 Questions]

Which THREE are best practices for measurement retention?

Show Suggested Answer Hide Answer
Suggested Answer: A, B, D

Some of the best practices for measurement retention are:

Derive time-of-use (TOU) values with interval data to prevent storing extra data: Time-of-use (TOU) values are scalar values that are calculated from interval data based on different TOU periods. Interval data is measurement data that is recorded at regular intervals, such as every 15 minutes or every hour. To prevent storing extra data, you can derive TOU values with interval data instead of storing them separately.

Derive demand from interval data to prevent storing extra data: Demand is a value that indicates the maximum power or load that is consumed or generated during a certain period. Demand can be calculated from interval data by using certain methods, such as block demand or rolling demand. To prevent storing extra data, you can derive demand from interval data instead of storing them separately.

Use Information Lifecycle Management (ILM) processes to help archive data: Information Lifecycle Management (ILM) processes are features that enable MDM to manage the lifecycle of measurement data based on certain policies or rules. ILM processes can help archive data that is no longer needed or used by moving them to different storage tiers or deleting them.

You do not need to keep scalar measurements in the customer read tables to stay consistent, which are tables that store measurement data that is entered by customers or meter readers. Scalar measurements are measurement data that are recorded at certain events, such as billing cycle end or meter exchange. You can store scalar measurements in different tables based on their source or status.

You do not need to keep initial measurement data (IMD) for the same period of time as final measurements for cancel rebill purposes, which are records that store the raw measurement data that is received from smart meter systems or other sources. Final measurements are records that store the measurement data that has been validated, edited, and estimated. You can keep IMD for a shorter period of time than final measurements based on your business needs or requirements.


Contribute your Thoughts:

Davida
2 months ago
Haha, 'derive demand from interval data'? That's like trying to derive the meaning of life from a spreadsheet. Give me A, D, and E any day!
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Kristeen
2 months ago
I'm torn between A and B, but I think D is a must-have. ILM is like the Marie Kondo of data management - only keep what sparks joy (or, you know, business value).
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Wei
6 days ago
Yes, only keeping what sparks joy (or business value) is key.
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Sherrell
7 days ago
ILM processes are definitely like Marie Kondo for data!
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Wynell
7 days ago
I agree, but I think D is crucial for archiving data efficiently.
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Iesha
14 days ago
I think A and B are important for data retention.
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Denise
2 months ago
I agree with you, Keneth. Using ILM processes to help archive data is crucial for efficient retention.
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Halina
2 months ago
Definitely agree with Benedict. A, D, and E are the way to go. Gotta be efficient with that data storage!
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Benedict
2 months ago
A, D, and E seem like the best options to me. Storing extra data can just lead to bloat, and ILM is crucial for managing large datasets.
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Annette
19 days ago
ILM processes are essential for managing large datasets efficiently.
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Adell
21 days ago
Agreed, storing extra data can cause unnecessary bloat.
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Loreta
1 months ago
A, D, and E are definitely important for measurement retention.
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Keneth
2 months ago
I think A, D, and E are the best practices for measurement retention.
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