Oracle 1Z0-1041-22 Online Practice
Questions and Exam Preparation
1Z0-1041-22 Exam Details
Exam Code
:1Z0-1041-22
Exam Name
:Oracle Cloud Platform Enterprise Analytics 2022 Professional
Certification
:Oracle Certifications
Vendor
:Oracle
Total Questions
:82 Q&As
Last Updated
:May 31, 2026
Oracle 1Z0-1041-22 Online Questions &
Answers
Question 31:
You've created an instance with 1 OCPU and 15 GB of RAM. What is this combination of OCPU and RAM called?
A. Compute shape B. Analytics shape C. Classic compute D. Architecture shape
A. Compute shape
Question 32:
Which of the following cannot be done with Data Visualization to shape stories?
A. Visual canvases can be resized and the Auto Fit setting can be disabled. B. Enhance narrative transition by rearranging and/or hiding Insight canvases. C. Create filters to focus upon pertinent data points. D. Multiple projects can be combined into one project by clicking on the Share icon in the Narrate menu bar.
D. Multiple projects can be combined into one project by clicking on the Share icon in the Narrate menu bar.
Question 33:
What is the Oracle resource recommendation for applying a patch?
A. Oracle recommends 230 GB, that is, 130 GB latency, and 100 GB data. B. Oracle recommends 300 GB, that is, 150 GB latency, and 150 GB data. C. Oracle recommends 200 GB, that is, 100 GB latency, and 100 GB data. D. Oracle recommends 330 GB, that is, 180 GB latency, and 150 GB data.
A. Oracle recommends 230 GB, that is, 130 GB latency, and 100 GB data.
Question 34:
Which operating system does the administration tool require?
A. Microsoft Windows x86-64-bit B. Linux x86-64-bit C. Oracle Solaris on SPARC 64-bit D. Oracle Solaris on x86 64-bit
A. Microsoft Windows x86-64-bit
Question 35:
In which two ways can you use Oracle Analytics Cloud to determine which values of a given data set may provide the greatest opportunity due to their stand out qualities?
A. Add an outlier visualization to your canvas. This will highlight data points that stand out and may Justify further investigation. B. Modify the color palette to highlight unique values. C. Use a combination of Max / Min value reference lines. D. Create a box plot visualization of your data set.
C. Use a combination of Max / Min value reference lines. D. Create a box plot visualization of your data set.
Question 36:
Your company is using an Essbase cube, which is enabled for Scenario Management. Planners model data in individual scenarios and submit them for approval. While modeling data in the "SB1" sandbox, you changed a few values based on
some assumption. Later, you realized that your assumptions were incorrect. You want to start again with the original values, the same as base.
Which step should you perform?
A. Type #Revert in the changed scenario cells and Submit Data. B. Type #Missing in the changed scenario cells and Submit Data. C. Type #Discard in the changed scenario cells and Submit Data. D. Type #Base in the changed scenario cells and Submit Data. E. Type #Original in the changed scenario cells and Submit Data.
A. Type #Revert in the changed scenario cells and Submit Data.
Question 37:
What should you use to make sure that the model you created is correct?
A. Data Checker icon B. Validate Icon C. DB Sync Icon D. Correct icon
B. Validate Icon
Question 38:
What does a confusion matrix illustrate?
A. a table that reports the occurrences of higher positives, false negatives, lower 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 false positives, false negatives, true positives, and true negatives for a machine learning model D. a table that reports the occurrences of upper positives, lower negatives, mid positives, and true negatives for a machine learning model
C. a table that reports the occurrences of false positives, false negatives, true positives, and true negatives for a machine learning model
Explanation/Reference:
Reference https://blogs.oracle.com/analyticscloud/machine-learning-and-data-visualization:-its-all- related
Question 39:
What are two incorrect steps when creating pixel perfect reports with Bl Publisher?
A. Generate and save to a folder in the Presentation Catalog a sample set of data that can be used for configuring and testing the report. B. Define a data model to set the business view of the data, join data sets, and create custom measures. C. Create connections to sources, some of which include Oracle l0g/llg, Oracle BI Server, JDBC, and MS SQL Server 2005/2008. D. Test connections between BI Publisher and configured sources using Oracle Fusion Middleware Control.
B. Define a data model to set the business view of the data, join data sets, and create custom measures. D. Test connections between BI Publisher and configured sources using Oracle Fusion Middleware Control.
Question 40:
Which two statements are true regarding configuring filters to control visual content?
A. Expression filters cannot be applied in the filter steps of Oracle Analytics Cloud Data Visualization data flows. B. Variables may be employed in all Data Visualization filter types (that is, Range, List, Date, Expression). C. Application role filters for fact and dimension tables are defined in the Oracle Analytics Cloud Data Modeler. D. When the Oracle Business Intelligence Enterprise Edition repository is used as a data source, filters defined in the initialization blocks with the client administration tool are automatically inherited in Data Visualization.
C. Application role filters for fact and dimension tables are defined in the Oracle Analytics Cloud Data Modeler. D. When the Oracle Business Intelligence Enterprise Edition repository is used as a data source, filters defined in the initialization blocks with the client administration tool are automatically inherited in Data Visualization.
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