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| Section | Weight | Objectives |
|---|---|---|
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Understanding Oracle Analytics Cloud | 5% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% |
Das Expertenteam von ZertSoft hat neulich das effiziente kurzfriestige Schulungsprogramm zur Oracle 1z0-1177-26 Zertifizierungsprüfung entwickelt. Die Kandidaten sollen an dem 20-stündigen Kurs teilnehmen, dann können sie neue Kenntnisse beherrschen und ihre ursprüngliches Wissen konsolidieren und auch die Oracle 1z0-1177-26 Zertifizierungsprüfung leichter als diejenigen, die viel Zeit und Energie auf die Prüfung verwendet, bestehen.
94. Frage
Which Oracle Analytics Cloud administrative feature allows scheduled execution and delivery of analyses or alerts when predefined conditions are met?
Antwort: A
Begründung:
Agents are the intended Oracle Analytics capability for automatically executing analytical content according to a schedule or business condition and then delivering the resulting information to users or configured destinations. An agent can run periodically, evaluate a condition, select analytical content, identify recipients, and determine delivery destinations.
For example, an agent can evaluate an analysis each morning and deliver an alert only when inventory drops below a defined threshold. Oracle's current Oracle Analytics Cloud interface increasingly uses the term Delivery for this functionality, but the underlying scheduled/conditional delivery framework is the same capability historically identified as Agents in Classic Analytics.
Selection Steps control which members appear in analysis results. Trellis Views provide repeated comparative visualizations. Subject Areas expose governed business data from the semantic model. None of those features performs condition-driven scheduled delivery.
There is an internal error in the uploaded source: the placement of its "Correct answer" marker makes Selection Steps appear keyed, while the source explanation explicitly says that Agents automate execution and distribution based on schedules or conditions . Oracle documentation supports Agents/Deliveries, so the verified answer is A .
Reference Topic: Managing Administration, Security, and Performance - Agents, Deliveries, Conditions, and Scheduling
95. Frage
Which statement describes the purpose of Virtual Private Database (VPD) in a secure reporting approach?
Antwort: E
Begründung:
Oracle Virtual Private Database (VPD) implements fine-grained, database-level access control by dynamically restricting rows returned to a user. A VPD policy associates a policy function with a protected table, view, or synonym. When a SQL statement references that object, Oracle Database automatically applies the policy-generated predicate to the statement.
For example, a query that conceptually requests every row from a sales table can transparently become a query restricted to the current user's authorized sales region. This makes VPD particularly suitable for reporting environments where multiple users execute similar reports but must see different subsets of the underlying data.
Oracle Analytics Publisher can preserve user identity through proxy-authenticated connections, while the database's VPD policy performs the row-level enforcement. This is fundamentally stronger than filtering sensitive rows only after they have already been returned to Publisher.
Catalog permissions solve a different security problem: they determine who can access or modify report objects. Bursting creates personalized documents but doesn't constitute database row-level security.
Therefore, VPD's defining role in this scenario is database-enforced row-level security , making A correct.
Reference Topic: Managing and Securing Oracle Analytics Publisher - VPD and Row-Level Data Security
96. Frage
A report developer wants to create a formatted report without writing RTF templates or custom code. Which Oracle Analytics Publisher component should be used?
Antwort: B
Begründung:
The Layout Editor is Oracle Analytics Publisher's browser-based visual report-design environment. Oracle describes it as a web-based, WYSIWYG, drag-and-drop tool for creating Publisher layouts without requiring authors to manually write an RTF template or formatting code.
Using Layout Editor, the author can insert and arrange components such as tables, charts, pivot tables, images, text items, and layout grids. Component properties, formatting, grouping, sorting, and other presentation characteristics can then be configured through the graphical interface. Layout Editor-generated XPT layouts support interactive browser viewing and a broad range of output types.
A SQL Worksheet is a database-query development environment and doesn't design Publisher report layouts.
Catalog Manager manages analytics catalog content rather than visually designing reports. Data Gateway handles remote data connectivity and has no report-formatting role.
This scenario specifically states that the developer wants formatted output without writing RTF templates or custom code , which precisely matches the purpose of Publisher Layout Editor.
Therefore, A. Layout Editor is the correct selection.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Publisher Layout Editor
97. Frage
A dashboard author wants users to see one visible link on the dashboard. When users click it, they should choose from several actions, each navigating to a web page. Which two configuration steps meet this requirement?
Antwort: B,F
Begründung:
An Action Link Menu is designed specifically for grouping several dashboard actions behind one visible menu. Instead of displaying multiple independent links, the author places an Action Link Menu object on the dashboard and adds the individual action links to that menu. Each contained action can navigate to another analytics object, external web page, or other supported destination.
The Menu Label supplies the text displayed to the user for that grouped menu. Oracle's configuration workflow explicitly instructs authors to enter a value in the Menu Label field and then add individual action links to the Action Link Menu. When the consumer uses the menu, the available actions are presented as selectable options.
Standalone inline or named links would expose multiple separate links and therefore violate the requirement for one visible entry point. The More icon is not the dashboard design mechanism required here, and creating separate dashboard pages introduces unnecessary navigation and maintenance.
Therefore, the correct design is to use an Action Link Menu as the container and configure its Menu Label as the visible menu text.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Action Links and Action Link Menus
98. Frage
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?
Antwort: E
Begründung:
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
99. Frage
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