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Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions (Q58-Q63):

NEW QUESTION # 58
Your customer is looking to get a better understanding of their data, in particular how Oracle Analytics Cloud can help them gain a competitive advantage.
Which two tasks can help them achieve their goals?

A. Perform analysis on the data by using trend lines, clustering, and outlier detection to offer new perspectives.
B. Create a data flow to highlight the interesting data.
C. Import the data Into Oracle Analytics Cloud and use the Data Tile functionality in the Prepare section of the product. Use the resulting combination of visualization types to determine relationships and avenues for further exploration.
D. Create a data story by using the narrate functionality to present to their management.

Answer: A,D

NEW QUESTION # 59
You create a visualization of revenue data by date (at day level) for the past three years. You then add a forecast.
How can you check the accuracy of the forecast?

A. Select the option to highlight the prediction interval for a given percentage.
B. Addreference lines for the maximum and minimum.
C. Change the model employed by the algorithm.
D. Combine a polynomial trend line with a suitable reference line.

Answer: A

NEW QUESTION # 60
You have a data set that you wish to use to train a machine learning model in Oracle Analytics Cloud. The attribute you are interested in predicting has one of two text values (e.g. Yes/No or True/False).
How should you perform this operation?

A. Create a data flow that includes a step to train a fuzzy prediction model and save the model for later use.
B. Create a data flow that includes a step to analyze sentiment and save the model for later use.
C. Create a data flow that includes a step to train a binary classifier model and save the model for later use.
D. Create a data flow that includes a step to train a clustering model and save the model for later use.

Answer: C

NEW QUESTION # 61
The data loads for your Essbase cube are taking many hours, due to which the cube is unavailable to theuser for extended periods every day. You are assigned the task of optimizing the data load process.
Which are four optimization steps?

A. grouping the data source by sparse-dimensionmember combination
B. using Parallel load
C. making the data source as small as possible by eliminating redundancy
D. loading from the Essbase server
E. positioning data in reverse order as the outline
F. switching from multiple data fields to a single data field

Answer: A,B,C,D

NEW QUESTION # 62
What does a confusion matrix illustrate?

A. a table that reports the occurrences of false positives, false negatives, true positives, and true negatives for a machine learning model
B. a table that reports the occurrences of negative positives, false negatives, true positives, and positive negatives for a machine learning model
C. a table that reports the occurrences of upper positives, lower negatives, mid positives, and true negatives for a machine learning model
D. a table that reports the occurrences of higher positives, false negatives, lower positives, and true negatives for a machine learning model

Answer: A

Explanation:
Explanation
Reference https://blogs.oracle.com/analyticscloud/machine-learning-and-data-visualization:-its-all-related

NEW QUESTION # 63
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Adam Shaw Adam Shaw

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