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Oracle 1Z0-1041-21 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Oracle Analytics Cloud Overview and Administration | 25% | - Monitoring and maintenance - Provisioning and lifecycle management - Security and access control - Architecture and components |
| Data Visualization and Analysis | 20% | - Building visualizations and dashboards - Storytelling and presentation - Sharing and collaboration - Interactive analysis and filtering |
| Advanced Analytics and Machine Learning | 5% | - Predictive analytics - Machine learning model creation and deployment - Advanced statistical functions |
| Data Preparation and Integration | 25% | - Data quality and validation - Data transformation and enrichment - Data sources connection - Data synchronization and refresh |
| Data Modeling and Semantic Layer | 25% | - Calculations and aggregations - Dimensional modeling concepts - Creating and managing semantic models - Hierarchies, measures and attributes |
Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions:
1. If something goes wrong with your data model, you can easily restoreyour content to a previous working state from a_____.
A) snapshot
B) db_restore command
C) analytics_restore command
D) Model Restore
2. Your customer has a requirement to generate a Year-to-Date and Quarter-to-Date report from a Block Storage Essbase cube. The cube has a dimension that represents Time and includes calendar months as leaf-level members.
What two steps should you perform to enable To-Date reporting?
A) Enable Dynamic Time Series in the Time dimension and configure Y-T-D and Q-T-D.
B) Ensure the dimension representing Time is tagged as the "Time" dimension.
C) Ensure the Time Balance functionality is turned on for the cube.
D) Exclude Quarters from the Time hierarchy.
3. How can Oracle Analytics Cloud be used to visualize group relationships between data points on aparticular canvas?
A) Use a combination of a tree diagram and a trellis visualization.
B) Use a variety of colors for each data point.
C) Create a cluster with a suitable number of groups for the specific analysis.
D) Visualize the data by using a networkchart.
4. What statement is false regarding how Data Flow Sequences can beconfigured?
A) Data Set prepare execution can be encapsulated by embedding Sequences inside of other Sequences.
B) To remove an item from a Sequence, click the Action menu icon at the far right of the line upon which the item is found and then select Remove from the drop-down menu,
C) To change the order of an item in the Sequence, the item can be selected by clicking it and dragging it up or down. It will be placed immediately below the highlighted item.
D) Sequences can be configured to fork multiple Data Flows to be run in parallel so as to complete data preparation more quickly than running flows serially.
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) Create a reference line which displays the average revenue.
B) Create a trend line.
C) Create a column trellis over the prominent dimension value.
D) Add a filter to remove the oldest data.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,C | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A,B |



