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Oracle 1Z0-1080-25 Exam - Topic 27 Question 8 Discussion

Actual exam question for Oracle's 1Z0-1080-25 exam
Question #: 8
Topic #: 27
[All 1Z0-1080-25 Questions]

You want to analyze past data and predicted data to help you find patterns and insights into data that you might not have found on your own. To accomplish this, you configure Insights with Auto Predict.

Which two are Oracle EPM guidelines for implementing Insights and Auto Predict?

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Suggested Answer: B, D

In Oracle Planning 2024, configuring Insights with Auto Predict allows users to analyze past and predicted data to uncover patterns and insights. Oracle provides specific guidelines to ensure effective implementation:

A . For future data, create a new insight by leveraging templates that include insight definitions: Incorrect. While templates can be used to set up Insights, this is not a specific Oracle guideline for implementing Auto Predict. Auto Predict relies on historical data and predictive algorithms, not predefined insight templates for future data.

B . For historical data, there should be at least twice the amount of historical data as the number of prediction periods: Correct. Oracle recommends having sufficient historical data---specifically, at least twice the number of periods you intend to predict---to ensure the accuracy of Auto Predict's machine learning algorithms. For example, predicting 12 months requires at least 24 months of historical data.

C . For historical data, create the Insights job using the lowest level of Period members possible so that the greatest amount of historical data can be used: Incorrect. While granularity matters, Oracle does not mandate using the lowest level of Period members (e.g., days instead of months) as a guideline. The focus is on the quantity of historical data, not necessarily the lowest level of aggregation.

D . For future data, first run predictions in a test environment to ensure there is no impact on production data: Correct. Oracle advises testing Auto Predict in a non-production environment to validate results and avoid unintended impacts on live data, aligning with best practices for predictive analytics deployment.

The two guidelines---B and D---are explicitly outlined in Oracle's documentation for Insights and Auto Predict to ensure reliable predictions and safe implementation.


Oracle Planning 2024 Implementation Study Guide: 'Configuring Insights and Auto Predict' (docs.oracle.com, Published 2024-10-15).

Contribute your Thoughts:

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Emerson
13 hours ago
D is important for testing. We can't risk production data.
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Jade
6 days ago
I’m leaning towards A too. Templates can streamline the process.
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Roy
11 days ago
Agreed! Option C also makes sense. Using the lowest level gives us more data.
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Louvenia
30 days ago
I think option B is crucial. More historical data means better predictions.
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Daniel
1 month ago
C makes sense, more data equals better predictions!
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Lovetta
1 month ago
I disagree with D; testing in production can be risky.
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Sharee
2 months ago
Wait, is it really twice the historical data? That seems excessive!
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Marvel
2 months ago
I wonder if they'll ask about the best snacks to eat during the exam. Gotta fuel the brain!
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Rory
2 months ago
D is a good idea, can't risk messing up the production data.
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Johanna
2 months ago
B and C seem like the most logical options to me.
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Merlyn
2 months ago
I remember discussing templates for insights, so option A might be relevant, but I can't quite remember the details about creating new insights.
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Carmen
2 months ago
I’m a bit confused about the guidelines for future data. I think option D sounds right, but I can't recall if testing in a separate environment is always necessary.
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Lonna
3 months ago
I practiced a similar question, and I feel like option C makes sense because using the lowest level of Period members should give us more data to work with.
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Ula
3 months ago
I think I remember something about needing enough historical data for predictions, maybe option B? But I'm not entirely sure how much is considered "enough."
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William
3 months ago
A seems like a good tip for working with the Insights templates, but I'm not sure if that's considered a core guideline like the others.
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Eveline
3 months ago
I think A is also important for future insights.
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Lashawn
3 months ago
B and C are definitely key guidelines!
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Kallie
4 months ago
B and C make sense, but I'm still a bit confused on the details.
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Justine
4 months ago
I'm pretty confident that D is also an important guideline - we should always test predictions in a non-production environment first to avoid impacting live data.
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Muriel
4 months ago
Hmm, I'm a bit confused about the difference between historical and future data in this context. Do we need to do separate steps for each, or can we just use the same process?
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Lottie
4 months ago
I think B and C are the key guidelines here. We need enough historical data to make reliable predictions, and we should use the lowest level of periods to get the most data.
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Carmela
3 months ago
I agree, B and C make sense. More data equals better predictions.
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