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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Dashboard prompts and pages - Enhancing dashboards and briefing books |
| Topic 2: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 3: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing selection steps - Using prompts and variables - Managing filters |
| Topic 4: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Creating Excel and eText templates - Formatting and customizing reports - Using RTF Template Builder - Using Layout Editor |
| Topic 5: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Performance and caching - Administration |
| Topic 6: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Publisher administration - Bursting and delivery - Scheduling reports - Report translations |
| Topic 7: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 8: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 9: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Creating and managing analyses - Managing analytics content |
| Topic 10: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
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NEW QUESTION # 38
An author wants to combine results from two subject areas in an analysis and asks whether the Analysis Editor can create joins between subject areas. Which approach should the author use?
Answer: C
Explanation:
When the objective is to stack separate result sets , the Analysis Editor supports set operations such as UNION, UNION ALL, INTERSECT, and DIFFERENCE . Oracle documents a specific Combine Results function that lets authors create criteria from another subject area and apply a set operator to the two query result sets.
Set operations, however, aren't relational join definitions. They combine compatible result sets and require matching numbers of columns and compatible data types. They don't create primary-key/foreign-key or other semantic relationships between subject areas.
Cross-subject-area relational behavior depends on the semantic model , including common dimensions, facts, and relationships defined for the participating subject areas. Oracle also supports cross-subject-area analyses using conformed dimensions, but those relationships derive from model metadata rather than a join created ad hoc through set-operation syntax.
Dashboard prompts simply provide runtime filtering and don't create data relationships. Likewise, adding a second query doesn't itself define semantic join logic.
Therefore, the accurate distinction is: use set operators when stacking compatible result sets; define and govern actual joins through the semantic model .
Reference Topic: Managing and Creating Analyses, Views, and Content - Combining Subject Areas and Set Operations
NEW QUESTION # 39
Which statement best describes the primary purpose of the Oracle Analytics Cloud Catalog?
Answer: A
Explanation:
The Oracle Analytics Catalog serves as the organized repository for analytical content. It stores and manages objects that users create and consume, including analyses, dashboards, prompts, Publisher reports, data models, templates, and related analytics artifacts. Content is organized into folder structures and governed through object-level access permissions.
Oracle distinguishes between personal and shared catalog locations. My Folders contains content belonging to an individual user, while Shared Folders contains objects intended to be accessible to authorized users or groups. The Catalog also supports operations such as searching for content, assigning permissions, moving or copying objects, and-in Publisher scenarios-uploading, downloading, and managing translations.
The Catalog isn't a relational database repository and therefore doesn't store database indexes or physical database schemas as its core purpose. It also doesn't generate warehouse tables or replace Oracle Database security. Database-level access control remains separate from analytics-content authorization.
Consequently, option B accurately describes the Catalog as the central organizational and management facility for Oracle Analytics content.
Reference Topic: Understanding Oracle Analytics Cloud - Catalog and Analytics Content Management
NEW QUESTION # 40
An author wants an agent to run only when an analysis returns rows that match a business condition, and also wants to deliver the actual analysis content. How should the author configure the agent?
Answer: B
Explanation:
Oracle Analytics Agents separate the execution condition from the content to be delivered . The Condition tab determines whether the agent should execute. The author can create a new condition or browse to an existing condition based on an analysis. For a condition based on an analysis, Oracle evaluates whether the analysis returns results that satisfy the configured criteria.
The actual payload is configured independently on the Delivery Content tab . Here, the author selects the analysis or dashboard page to deliver and specifies parameters such as subject, output format, and whether results are delivered directly, as an attachment, or as a link where supported.
The Destinations tab determines where content is sent, not whether the condition evaluates to true. The current Oracle documentation identifies the Actions tab as reserved rather than as the location for row-count conditions. The Recipients tab identifies users, application roles, or email recipients but doesn't determine the report output itself. Dashboard prompts are interactive filtering controls, not Agent execution triggers.
Therefore, the required configuration is Condition tab for conditional execution plus Delivery Content tab for the actual analytical content .
Reference Topic: Managing Administration, Security, and Performance - Agents, Conditions, and Delivery Content
NEW QUESTION # 41
A developer is using Template Builder for Microsoft Word to create a translation file from an existing Oracle Analytics Publisher template. Which action creates the XLIFF translation file?
Answer: C
Explanation:
Template Builder for Microsoft Word provides dedicated translation tools for extracting translatable text from an RTF template into an XLIFF (.xlf) file . Oracle's documented procedure is to open the template with Template Builder installed and, from the Template Builder tools, choose Translation # Extract Text .
Publisher then extracts the template's translatable boilerplate strings and creates an XLIFF file.
Typical translatable strings include report titles, table headers, field labels, and static textual content intended to appear in generated output. Data supplied dynamically at runtime isn't extracted as template translation text.
The resulting XLIFF file can then be provided to a translator or edited with an XLIFF-compatible tool. After translation, it is associated with the original report template for the appropriate locale. Preview Translation is used later to test an already-created translation; it doesn't generate the initial XLIFF file. Uploading a localized RTF file represents a different localization strategy. Changing the user's report locale also doesn't perform text extraction.
Thus, Translation # Extract Text is the specific Template Builder command that creates the XLIFF translation file.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - XLIFF Translation
NEW QUESTION # 42
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: C
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 # 43
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