Oracle Exam 1Z0-1091-22 Topic 6 Question 36 Discussion

Actual exam question for Oracle's 1Z0-1091-22 exam

Question #: 36
Topic #: 6

At which stage during the high-level process of loading interval initial measurement data does Meter Data Management (MDM) normalize measurements and why?

AValidation, Estimation, and Editing (VEE) stage, so that each interval can be compared to a specific date and time for validation.

BCreate the Final Measurements stage, so that each interval measurement is stored as a single record for a specific date and time.

CLoad the Initial Measurements stage, so that each interval measurement is stored as a single record for a specific date and time.

DCreate the Final Measurements stage, so that each interval is stored as the adjusted value to represent an average interval value.

Show Suggested Answer

Suggested Answer: B

Oracle Utilities Meter Data Management normalizes measurements during the Create the Final Measurements stage of loading interval initial measurement data. Normalization is the process of converting interval measurements into a common format that can be processed by Oracle Utilities Meter Data Management. Normalization involves storing each interval measurement as a single record for a specific date and time, regardless of how they are received from smart meter systems.

Oracle Utilities Meter Data Management does not normalize measurements during other stages of loading interval initial measurement data, such as Load the Initial Measurements stage or Validation, Estimation, and Editing (VEE) stage. Normalization is not done for other purposes, such as validation or intervalization.

by Tonja at Sep 16, 2024, 09:02 PM

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Iesha

2 months ago

Hmm, I'm not sure. This question is really 'interval-ly' confusing. Get it? Interval-ly? Haha, I'll see myself out.

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Catrice

26 days ago

I think it's C) Load the Initial Measurements stage, to store each interval measurement as a single record.

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Vallie

29 days ago

C) Load the Initial Measurements stage, so that each interval measurement is stored as a single record for a specific date and time.

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Malcolm

1 months ago

A) Validation, Estimation, and Editing (VEE) stage, so that each interval can be compared to a specific date and time for validation.

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Deeanna

2 months ago

I'm not sure, but I think it makes sense to normalize measurements at the Validation, Estimation, and Editing (VEE) stage.

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Delmy

2 months ago

D is the correct answer. Storing the adjusted interval values to represent the average makes the most sense for the final measurements.

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Flo

1 months ago

Absolutely, it ensures consistency and reliability in the data stored for further processing.

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Alease

2 months ago

That's true. Normalizing measurements during the Create the Final Measurements stage is crucial for accurate data analysis.

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Madonna

2 months ago

Yes, I agree. It helps in having a single record for each interval measurement at a specific date and time.

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Portia

2 months ago

I think D is the correct answer. Storing the adjusted interval values to represent the average makes the most sense for the final measurements.

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Beata

2 months ago

C is my pick. Normalizing the data at the 'Load the Initial Measurements' stage ensures that the intervals are properly recorded from the start.

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Corinne

2 months ago

I agree with Lashaunda, because normalizing measurements at that stage allows for validation against specific date and time.

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Earlean

3 months ago

I think the answer is B. It makes sense to normalize the measurements during the 'Create the Final Measurements' stage so that each interval is stored as a single record with a specific date and time.

upvoted 0 times