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Oracle Analytics Cloud 1Z1-1041 So you can take a best preparation for the exam.
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1Z1-1041 PDF DEMO:
QUESTION NO: 1
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 clustering model and save the model for later use.
B. Create a data flow that includes a step to train a fuzzy prediction model 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 analyze sentiment and save the model for later use.
Answer: C
QUESTION NO: 2
If something goes wrong with your data model, you can easily restore your content to a previous working state from a_____.
A. snapshot
B. analytics_restore command
C. Model Restore
D. db_restore command
Answer: A
Explanation
Reference
https://docs.oracle.com/en/cloud/paas/data-visualization-cloud/bidvc/taking-snapshots-and- restoring.html#GUID
QUESTION NO: 3
Which statement is false with respect to Dashboards?
A. Options for the Export and Refresh report links can be enabled globally at the dashboard level.
B. Prompts on the dashboards can be shared between different pages of a dashboard.
C. Multiple Analyses can be arranged into different columns and sections with different sizes on a dashboard.
D. All the Analyses placed on a dashboard must be sourced from the same subject area.
Answer: A
QUESTION NO: 4
You've created a visualization of revenue data over time. The revenue data over time exhibits some curvature in the line visualization.
What trending algorithm should you use to refine the trendline?
A. Use the polynomial option.
B. Use the linear option.
C. Use the exponential option.
D. Set the confidence interval to 95%.
Answer: B
QUESTION NO: 5
You have created a visualization of revenue data over time. It displays some seasonality (e.g.
high revenue around typical holiday periods) but there is no obvious pattern to the data overall. In which two ways can you start to get insight from this data?
A. Add a filter to remove the oldest data.
B. Create a reference line which displays the average revenue.
C. Create a column trellis over the prominent dimension value.
D. Create a trend line.
Answer: B,D
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Updated: May 28, 2022