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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Topic 2: Governance, Security, and Administration | 25% | - Content Lifecycle Management
|
| Topic 3: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 4: Data Modeling and Semantic Design | 30% | - Data Source Connections and Integration
|
| Topic 5: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
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NEW QUESTION # 96
An administrator is configuring a delivery agent. The agent should deliver content to selected devices instead of using the user's active delivery profile, and the scheduled analysis run should seed the cache. Which two destination settings match these requirements?
Answer: B,D
Explanation:
For device delivery, Oracle Analytics distinguishes between Active Delivery Profile and Specific Devices .
Active Delivery Profile lets each user determine delivery behavior through personal delivery preferences.
When the Agent must instead target explicitly chosen device types, the author selects Specific Devices and identifies the permitted devices. This satisfies the requirement to avoid reliance on the user's active profile.
For cache seeding, Oracle documents a dedicated Agent workflow. After choosing the analysis or dashboard page and establishing recipients, the administrator clears ordinary user destinations and selects the Analytics Server/BI Server Cache destination. Scheduled execution then populates the query cache using the results generated by the Agent.
The terminology in the question uses Oracle BI Server Cache , while current Oracle Analytics Server documentation refers to Oracle Analytics Server Cache ; functionally, this is the same cache-seeding destination represented by option E.
Selecting Never wouldn't schedule cache seeding. Home Page and Dashboard creates analytics alerts rather than restricting delivery to email devices. Active Delivery Profile does the opposite of the requirement, and Printer isn't the standard cache-seeding destination.
Therefore, the correct selections are Specific Devices and Oracle BI Server Cache .
Reference Topic: Managing Administration, Security, and Performance - Agent Destinations and Cache Seeding
NEW QUESTION # 97
A BI developer needs to migrate dashboards, analyses, and catalog objects from a development environment to production. Which Oracle Analytics migration artifact is typically used?
Answer: C
Explanation:
A BAR file is the archive format used when exporting an Oracle Analytics Cloud snapshot for migration or backup. Oracle's current migration workflow is presented through Console # Snapshots . An administrator takes or selects a snapshot, exports it, and downloads the resulting archive as a file with the .bar extension.
The BAR snapshot can contain Oracle Analytics content and configuration, including catalog artifacts such as analyses and dashboards, semantic-model content, application roles, and other supported environment metadata depending on the snapshot and restore options. The administrator then imports the BAR file into the target OAC environment and restores the required content.
This makes snapshot/BAR migration repeatable and substantially safer than manually rebuilding or copying individual analytical objects. Oracle's current documentation explicitly shows the browser downloading bar_file_name.bar and subsequently importing that snapshot into the target environment.
Excel workbooks aren't environment migration packages. XML templates apply to specific Publisher or metadata scenarios, while SQL scripts can't package Oracle Analytics Catalog content and service configuration.
Therefore, BAR File is correct, with current OAC terminology commonly describing it as an exported snapshot (.bar) .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - OAC Snapshots and BAR Files
NEW QUESTION # 98
Which Oracle Analytics Cloud capability best differentiates governed analytics from purely self-service analytics?
Answer: A
Explanation:
The defining characteristic of governed analytics is the use of shared, centrally controlled metadata and business logic. Oracle Analytics semantic models provide a common layer where administrators and data modelers can define dimensions, measures, hierarchies, relationships, calculations, security rules, and business-oriented terminology once and expose those definitions consistently through subject areas.
This avoids a major risk inherent in unmanaged self-service analytics: different users creating different interpretations of the same metric. For example, if each department independently defines Revenue, Margin, Customer Count, or Fiscal Quarter, reports can produce contradictory business results even though they use the same underlying source data.
Governance doesn't mean administrators must create every report. Business users can still independently create analyses, dashboards, and other content against approved subject areas. Nor does governed analytics restrict users to spreadsheets. Instead, governance establishes a controlled semantic foundation while preserving analytical self-service.
Oracle specifically describes the semantic model as a business-oriented abstraction layer that incorporates semantics and governance rules. Therefore, shared metadata and centrally managed business definitions are what most clearly distinguish governed analytics, making D correct.
Reference Topic: Understanding Oracle Analytics Cloud - Governed Analytics and Shared Semantic Metadata
NEW QUESTION # 99
Which two statements describe form fields in Template Builder?
Answer: A,B
Explanation:
Microsoft Word form fields are a fundamental mechanism used by Oracle Analytics Publisher Template Builder to associate an RTF layout with the report's XML data and Publisher processing instructions. A form field can reference an element from the report data definition so that the associated value is placed dynamically into generated output.
Form fields can also contain BI Publisher processing instructions . For example, Template Builder uses form fields to represent constructs such as for-each processing, grouping, repeating rows, conditional processing, and other layout directives. Oracle's Template Builder configuration documentation specifically describes generating form fields for processing instructions and supports descriptive or abbreviated representations to make the RTF template easier to understand.
Form fields don't eliminate the value of sample XML data; Template Builder uses sample data to expose the available data structure and support previewing. They aren't limited to Word charts, nor are they an Excel- only technology. Option F is directly contrary to their purpose because Publisher commands and processing instructions are precisely what many form fields contain.
Therefore, form fields serve both data-field mapping and layout/processing-instruction embedding , making A and B correct.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - RTF Form Fields
NEW QUESTION # 100
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: B
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 # 101
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