By Format: Multiple Choice
Duration: 90 Minutes
Exam Price: $
Number of Questions: 55
Passing Score: 65%
Validation: This exam is validated against Oracle Analytics Cloud 2023
Policy: Cloud Recertification
Earn associated certifications
Passing this exam is required to earn these certifications. Select each certification title below to view full requirements.
Oracle Cloud Infrastructure 2023 Certified Enterprise Analytics Professional
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An Oracle Cloud Infrastructure 2023 Certified Enterprise Analytics Professional is capable of implementing Oracle Analytics Cloud. They have the knowledge required to perform provisioning, build dimensional models, and create data visualizations. They can use Advanced Analytics capabilities and create a machine-learning model. They understand and use the various augmented capabilities available with Oracle Analytics Cloud. They will also learn to use the various mobile applications available with Oracle Analytics Cloud Subscription.
Take recommended training
Complete one of the courses below to prepare for your exam (optional):
Become an Oracle Analytics Expert – 2023
Practice Exam
Additional Preparation and Information
A combination of Oracle training and hands-on experience (attained via labs and/or field experience), in the learning subscription, provides the best preparation for passing the exam.
Review exam topics
Oracle Analytics Cloud (OAC)
Describe and Create Oracle Analytic Cloud Solutions.
Oracle Analytics Cloud Provisioning and Lifecycle
Provision Users and Application Roles
Explain Migration Options to OAC and OAS
Modeling
Explain Transactional System, Analytical Systems, Data Warehousing, Dimensions, Facts, and Hierarchies
Data Visualization
Explain OAC ‘best visualization’ for a data set
Describe brushing and its benefits
Create a flexible layout of multiple visualizations to present data as a story
Use OAC to present your data as a story
Import a custom visualization plugin
Use Search and BI Ask.
Use Map Layers & Map Backgrounds
Data Preparation
Describe self service data preparation
Perform operations on a data set
Describe ‘sequence’ in the context of OAC data preparation
Explain the OAC Data Gateway
Use Data Flows to curate a Data Set
Create Connection ADW or ATP
Describe using Function Shipping with ADW
Using Oracle Applications Connector and EPM Connector
Advanced Analytics
Describe the Advanced Analytics capabilities in OAC
Explain Advanced Calculations inside Expression Editor
Create Advanced Analytics Functions
Machine Learning
Use the ‘Explain’ functionality
Create and train a machine learning model, analyze its effectiveness, and use it in a project
Use an ML scenario in a project
Register and apply Oracle Database Machine Learning Models
Oracle Analytics Cloud Answers, Dashboards, and BI Publisher
Use Oracle BI Analysis to build a report
Design Pixel Perfect Reports
Manage content in the Catalog
Create Prompts, Dashboards, and Calculations
Administer Analysis, Dashboards, and Reports
Use OAC Mobile and Day by Day
Navigate from a Data Visualization into a Publisher Report using Data Actions
Bursting Pixel Perfect Reports and using Data Sets
Sample Questions
QUESTION 1
Which data action must you use to connect to Oracle Analytics Publisher reports?
A. HTTP API
B. Analytics Link
C. Publish Event
D. URL Navigation
E. Webhooks
Answer: B
Explanation:
Analytics Link is a data action that allows you to connect to Oracle Analytics Publisher reports and
view them in Oracle Analytics Cloud. You can use Analytics Link to embed reports in your
dashboards, projects, or data visualizations. You can also pass parameters to the reports and filter
them dynamically. Reference: [Oracle Help Center]
QUESTION 2
Which are two use-cases for Data Flow?
A. To curate data sets that can be used for visualizations.
B. Create a custom Python Machine Learning model.
C. Perform some lightweight transformation within the Project.
D. Train and test the Machine Learning model.
Answer: A
Explanation:
Data Flow is a feature of Oracle Analytics Cloud that enables you to create and run data flows to
transform and enrich your data. You can use Data Flow for various use-cases, such as:
To curate data sets that can be used for visualizations. You can join, filter, aggregate, pivot, and
perform other operations on your data sets to prepare them for analysis.
To train and test the Machine Learning model. You can use Data Flow to apply machine learning
algorithms to your data and create predictive models. You can also evaluate the performance of your
models and compare them with different parameters. Reference: [Oracle Help Center], [Oracle Help Center]
QUESTION 3
Data How can take one or more data sets and integrate them to produce curated sets of data. After applying all the joins, transformations, and filters, you need to save the data.
What are the two options to save data in Data Flow?
A. Spreadsheet
B. All Rows
C. Data Set Storage
D. Database Connection
Answer: C, D
Explanation:
After creating a data flow, you need to save the output data to a destination.
You have two options to save data in Data Flow:
Data Set Storage: This option allows you to save the output data as a data set in Oracle Analytics
Cloud. You can choose the name, description, and format of the data set. You can also specify
whether to overwrite or append the existing data set.
Database Connection: This option allows you to save the output data to an external database that
you have connected to Oracle Analytics Cloud. You can choose the connection, schema, table name,
and mode of the database destination. Reference: [Oracle Help Center], [Oracle Help Center]
QUESTION 4
Which service do you need to subscribe for creating an Oracle Analytics Cloud (OAC) instance?
A. Oracle Back Storage
B. Oracle Autonomous Database
C. Oracle Analytics Cloud
D. Oracle Big Data Cloud Storage
Answer: C
Explanation:
To create an Oracle Analytics Cloud (OAC) instance, you need to subscribe to the Oracle Analytics
Cloud service on Oracle Cloud Infrastructure (OCI). Oracle Analytics Cloud is a comprehensive
analytics platform that provides a range of analytics capabilities, such as data visualization,
augmented analytics, machine learning, enterprise reporting, and more. You do not need to
subscribe to other services such as Oracle Back Storage, Oracle Autonomous Database, or Oracle Big
Data Cloud Storage to create an OAC instance, although you can use them as data sources for your
analytics projects. Reference: [Oracle Help Center], [Oracle Help Center]
QUESTION 5
You have a data set of stocks with the columns Date, MaxStockPrice and MinStockPrince.
Which column cannot be removed when performing a trend analysis?
A. Date
B. MintStockPrince
C. All columns are required
D. MaxStackPrince
Answer: A
Explanation:
To perform a trend analysis on a data set of stocks, you need to have at least one date column that
represents the time dimension of your data. A trend analysis is a method of analyzing how a variable
changes over time and identifying patterns or trends that may exist. Without a date column, you
cannot perform a trend analysis on your data set. The other columns, such as MaxStockPrice and
MinStockPrice, are optional and depend on what variable you want to analyze. Reference: [Oracle Help Center]
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