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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding Oracle Analytics Cloud | 5% | |
| Topic 2: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Topic 3: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Topic 4: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Topic 5: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Topic 6: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Topic 7: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Topic 8: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Topic 9: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Topic 10: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% |
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NEW QUESTION # 67
What is the purpose of views in analyses?
Answer: D
Explanation:
A view is a visual representation of the results returned by an Oracle Analytics analysis. After criteria determine the columns, filters, calculations, and query logic, views control how those analytical results are presented to the consumer. A single analysis can therefore expose the same underlying query results through several different representations.
Oracle Analytics supports views such as tables, pivot tables, graphs, trellises, gauges, narratives, performance tiles, and other visualization types. This separation between analysis criteria and presentation allows authors to choose the most appropriate representation without rebuilding the underlying analytical query.
Views do not define the original attributes selected for the analysis; that occurs through the Criteria tab and Selected Columns. They also do not automatically activate subtotals for every analysis. Totals are explicitly configured where required. Conditional formatting is a separate presentation capability, while dashboard prompts are independently created filtering objects.
Oracle defines a view as a visual representation of analysis results and states that additional views can be added to visualize the same data in different ways. Therefore, option C precisely expresses the architectural purpose of views.
Reference Topic: Managing and Creating Analyses, Views, and Content - Analysis Views
NEW QUESTION # 68
Which type of report is an example of the bursting feature in Pixel-Perfect Reporting?
Answer: D
NEW QUESTION # 69
A user needs the wallet file for an Autonomous Data Warehouse before creating the SQL Developer connection. Which two actions are required to retrieve the wallet file?
Answer: C,D
Explanation:
The Autonomous Data Warehouse wallet is obtained from the Oracle Cloud Infrastructure Console , not generated by SQL Developer. The administrator or authorized user first navigates to the appropriate compartment and selects the Autonomous Database instance. From the database details, the Database Connection function provides access to client credentials.
Oracle's current procedure then requires selecting the appropriate wallet type and choosing Download Wallet
. A password is supplied and confirmed to protect the downloaded wallet package. The resulting ZIP file contains the secure client credentials and network configuration needed by supported database clients.
SQL Developer uses the wallet only after it has been downloaded. Selecting a service name therefore belongs to the subsequent database-connection process rather than wallet retrieval. Running SQL Developer doesn't need to precede access to the OCI database details, and an independently downloaded JDBC driver isn't a prerequisite for obtaining the wallet.
The terminology in option D uses the older DB Connection label, while current OCI documentation generally uses Database connection , but the workflow remains the same. Therefore, B and D are correct.
Reference Topic: Connecting to Data Sources - Autonomous Data Warehouse Client Credentials and Wallets
NEW QUESTION # 70
Which two statements about dashboard prompts are correct?
Answer: B,F
Explanation:
A and B are the intended answers. Oracle Analytics supports constrained or cascading prompts , where a value selected in one prompt restricts the values presented by another. A classic example is selecting a Region first and having a subsequent City prompt display only cities within that region. This improves usability and prevents invalid combinations of prompt values.
Oracle also allows prompt default selections to be derived from server-side variables. These include session variables , which can contain user-specific information initialized when a user signs in, and semantic-model
/repository variables, which provide centrally maintained values. Such variables can therefore initialize prompts dynamically rather than requiring hard-coded default selections.
Statements C and D impose restrictions that Oracle Analytics does not require. F directly contradicts Oracle variable support.
There is an important technical issue with this question: Oracle Analytics also supports different prompt forms, including column and variable prompts, so E can be interpreted as generally valid . Consequently, E is a weak distractor and makes the item somewhat ambiguous when interpreted literally. For the supplied two- answer examination key and the specific concepts being tested-constrained prompts and variable-based defaults- A and B are the intended selections .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Dashboard Prompts and Variables
NEW QUESTION # 71
An author wants to limit which members are displayed in an analysis without changing the resulting values like a filter would. Which two statements describe selection steps?
Answer: A,E
Explanation:
Selection steps differ fundamentally from conventional filters in their position within analytical processing.
Oracle states that filters are evaluated before aggregation , whereas selection steps are applied after the query has been aggregated . As a result, selection steps determine which members are displayed without recalculating the previously established aggregate values.
For example, assume a hierarchy contains members totaling 100. If an ordinary filter removes one member before aggregation, the measure total can change. If a selection step removes that member after aggregation, the displayed membership changes while the aggregate can remain 100. This behavior is precisely why selection steps are valuable for analytical member manipulation such as Keep Only, Add, Remove, or condition-based selections.
Within classic analyses, Oracle supports creation of selection steps for attribute columns and hierarchical columns . Measure columns can be used to formulate conditions for selection steps, but selection steps aren't directly created for measures themselves.
Selection steps don't replace filters; both serve distinct analytical purposes. They also aren't restricted to pivot tables.
Therefore, C and D correctly identify their applicable column types and their post-aggregation effect on displayed members.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Selection Steps
NEW QUESTION # 72
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