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Oracle 1Z0-1041-21 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Modeling and Semantic Layer | 25% | - Dimensional modeling concepts - Creating and managing semantic models - Calculations and aggregations - Hierarchies, measures and attributes |
| Topic 2: Advanced Analytics and Machine Learning | 5% | - Predictive analytics - Machine learning model creation and deployment - Advanced statistical functions |
| Topic 3: Oracle Analytics Cloud Overview and Administration | 25% | - Architecture and components - Provisioning and lifecycle management - Monitoring and maintenance - Security and access control |
| Topic 4: Data Visualization and Analysis | 20% | - Storytelling and presentation - Sharing and collaboration - Building visualizations and dashboards - Interactive analysis and filtering |
| Topic 5: Data Preparation and Integration | 25% | - Data transformation and enrichment - Data sources connection - Data quality and validation - Data synchronization and refresh |
Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions:
1. How should you use a machine learning model within a canvas of an Oracle Analytics Cloud project?
A) Use the machine learning model visualization.
B) Create a scenario using the requiredmodel.
C) Create a data sequence.
D) Create a custom calculation.
2. Which two elements does a well modeled Fact Table consist of?
A) Dimension Keys
B) Measures
C) REST APIs
D) Nulls
3. Which two statements are true regarding the ways in which Oracle Analytics Cloud provides self-service data preparation capabilities?
A) The Oracle Data Integrator tool used for extraction, load, and transformation of data is a foundational component of the Oracle Analytics Cloud and is essential for data preparation.
B) Data sources can include application tables, data warehouses, data lake reservoirs, delimited flat files, and Microsoft Excel spreadsheets in the .xlsx format.
C) Data flows within the data preparation feature of Data Visualization can be used to extract, wrangle, and format data content from all supported data sources to create data sets upon which visuals may be constructed.
D) Join rules formashing up data from relational sources and delimited flat files can only be defined within the Oracle Analytics Cloud Data Modeler.
4. What is true about setting up Usage tracking?
A) You need to set up a connection pool in Oracle Analytics Developer Client Tool.
B) It is available in both Essbase and Enterprise Edition.
C) You need to set up a connection pool in Data Modeler.
D) It is only available in Enterprise Edition.
E) You need to restart after modifying the connection pool.
5. Which of the following cannot be done with Data Visualization to shape stories?
A) Visual canvases can beresized and the Auto Fit setting can be disabled.
B) Enhance narrative transition by rearranging and/or hiding Insight canvases.
C) Multiple projects can be combined into one project by clicking on theShare icon in the Narrate menu bar.
D) Create filters to focus upon pertinent data points.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,B | Question # 3 Answer: B,C | Question # 4 Answer: A,D,E | Question # 5 Answer: C |
