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| Section | Weight | Objectives |
|---|---|---|
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Understanding Oracle Analytics Cloud | 5% | |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% |
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NEW QUESTION # 34
A report needs to group Revenue values by item type and Per-Year-Month into four dynamic buckets and may need to return the bin names. Which function should the author use?
Answer: E
Explanation:
The BIN function is specifically designed to classify a numeric expression into a defined number of equal- width buckets. Oracle documents syntax in which a numeric expression is evaluated at a specified grain using the BY clause, followed by INTO n BINS. The function can return the bin number or one of the interval boundary values , making it appropriate when the analysis needs both dynamic bucketing and a usable representation of each bucket.
In this scenario, Revenue is the numeric measure, while item type and Per-Year-Month establish the required analytical grain. Specifying four bins therefore partitions Revenue values into four dynamically calculated ranges at that grain.
MSUM calculates a moving sum across rows; it doesn't classify values into buckets. PERIODROLLING performs time-series aggregation over a specified period. RANK returns relative ordering, while TOPN identifies the highest-ranked members. None of these functions creates equal-width numeric bins.
Therefore, BIN applied to Revenue at the required grain and configured for four bins directly satisfies the requirement. Oracle's function reference explicitly defines BIN for this purpose.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Analysis Functions and BIN
NEW QUESTION # 35
Which role is required to edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition?
Answer: B
Explanation:
The required predefined application role is BI Data Model Author . Oracle defines this role specifically for users who create and manage semantic models with Semantic Modeler. Membership provides access to Semantic Modeler and the capabilities required to create, edit, and deploy semantic models.
Oracle's current Semantic Modeler workflow documentation explicitly instructs administrators to grant the BI Data Model Author application role to users who require semantic-model development access. If the role is not assigned, the Semantic Model option may not appear on the Create page, and deployment-related capabilities are unavailable.
The other roles serve different functions. BI Content Author focuses on analyses, dashboards, and pixel- perfect reports rather than semantic-model administration. DV Consumer is intended for consuming and exploring visualizations. BI Data Load Author is not the semantic-model authoring role. "BI RPD Model Author" and "BI Service User" are not the applicable predefined application role for the current Semantic Modeler workflow described by Oracle.
Therefore, BI Data Model Author is the role aligned directly with creating, editing, managing, and deploying semantic models in Oracle Analytics Cloud.
Reference Topic: Managing Administration, Security, and Performance - Application Roles and Semantic Model Security
NEW QUESTION # 36
An administrator wants Oracle Analytics Cloud to securely connect to an on-premises Oracle Database without exposing the database directly to the internet. Which feature should be implemented?
Answer: C
Explanation:
Data Gateway is Oracle Analytics Cloud's supported remote-data-connectivity mechanism for accessing eligible on-premises data sources when the data remains within the organization's network. Oracle instructs administrators to install Data Gateway on a host within the network where the data source resides and register it with the target Oracle Analytics Cloud environment.
OAC can then route supported analytical requests through the configured remote connectivity mechanism rather than requiring the database itself to be directly exposed through a public internet endpoint. When creating the OAC database connection, the administrator enables Use Remote Data Connectivity so queries can use Data Gateway.
Oracle's current security guidance identifies both Data Gateway and Private Access Channel as secure approaches for connecting OAC to on-premises data sources. Since Private Access Channel isn't one of the answer choices, Data Gateway is unequivocally the correct response here.
OCI Object Storage is an object-storage platform and doesn't provide the required database-query bridge. FTP transfers files rather than establishing analytical SQL connectivity. A Public REST Endpoint would contradict the requirement to avoid direct internet exposure.
Therefore, the appropriate feature is Oracle Analytics Data Gateway .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Data Gateway and Remote Data Connectivity
NEW QUESTION # 37
A developer is using Query Builder to create a SQL query from multiple tables. Which two actions are used to define the query in Query Builder?
Answer: A,E
Explanation:
Query Builder provides a graphical mechanism for defining relational SQL data sets. When multiple tables are involved, the developer must first establish the logical relationship between them. Typically, this means creating a join using matching columns , such as a parent table's primary key and a child table's corresponding foreign key.
After the tables and relationships are established, the required output fields are selected by choosing the check boxes beside the column names in Query Builder's design interface. Those selected fields become part of the generated SELECT list. Oracle's Query Builder documentation and examples show precisely this pattern:
create the relationship between tables, select the desired columns, optionally define conditions and sorting, and then save the generated SQL.
A report definition doesn't need to be created before building the query. Dashboard definitions are unrelated to Publisher SQL Query datasets. Sample-data generation occurs after the query has been defined sufficiently to execute, and parameters are optional rather than prerequisites for creating table relationships.
Accordingly, the two essential query-definition operations are joining the related tables and selecting the required columns , making C and E correct.
Reference Topic: Exploring and Creating Reports and Data Models - Query Builder, Joins, and Column Selection
NEW QUESTION # 38
A developer must create a SQL query data set but is not comfortable writing SQL manually. What should the developer use to build the SQL statement graphically?
Answer: A
Explanation:
Query Builder is specifically designed to construct SQL queries graphically with minimal requirement for manually written SQL. Within the Publisher Data Model Editor, a developer creating a SQL Query data set can launch Query Builder, browse available database objects, add tables or views to the design area, select columns, define relationships between objects, apply query conditions, inspect the generated SQL, and execute the query to review results.
Oracle describes Query Builder as a mechanism for building SQL queries without coding . Its interface separates object selection from query design and output functions, making it suitable for developers or report authors who understand the required data but do not want to manually construct SQL syntax.
Layout Editor serves a different stage of report development: it controls the visual presentation of the report after data has been retrieved. Catalog Manager is concerned with catalog content rather than SQL construction. The Report Wizard assists with creating reports and layouts but is not the graphical relational query-design tool. Parameter configuration defines runtime input values rather than the complete SQL statement.
Consequently, Query Builder precisely satisfies the requirement for graphical SQL development.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - SQL Query Data Sets and Query Builder
NEW QUESTION # 39
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