We assume all the responsibilities that our practice materials may bring. They are a bunch of courteous staff waiting for offering help 24/7. You can definitely contact them when getting any questions related with our 1z0-1177-26 practice materials. If you haplessly fail the exam, we treat it as our responsibility then give you full refund and get other version of practice material for free. That is why we win a great deal of customers around the world. Especially for those time-sensitive and busy candidates, all three versions of 1z0-1177-26 practice materials can be chosen based on your preference. Such as app version, you can learn it using your phone everywhere without the limitation of place or time.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 2: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using RTF Template Builder - Formatting and customizing reports - Using Layout Editor - Creating Excel and eText templates |
| Topic 3: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Creating and designing dashboards - Dashboard prompts and pages |
| Topic 4: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Topic 5: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Administration - Performance and caching |
| Topic 6: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Report translations - Bursting and delivery - Scheduling reports - Publisher administration - Managing report data sources |
| Topic 7: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 8: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing selection steps - Managing filters - Formatting data - Using prompts and variables |
| Topic 9: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing analyses - Creating and managing views |
| Topic 10: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
>> Oracle 1z0-1177-26 Exam Torrent <<
PDFDumps's practice questions and answers about the Oracle certification 1z0-1177-26 exam is developed by our expert team's wealth of knowledge and experience, and can fully meet the demand of Oracle certification 1z0-1177-26 exam's candidates. From related websites or books, you might also see some of the training materials, but PDFDumps's information about Oracle Certification 1z0-1177-26 Exam is the most comprehensive, and can give you the best protection. Candidates who participate in the Oracle certification 1z0-1177-26 exam should select exam practice questions and answers of PDFDumps, because PDFDumps is the best choice for you.
NEW QUESTION # 47
A report requires users to select a department from a predefined list before the query executes. Which Oracle Analytics Publisher feature satisfies this requirement?
Answer: D
Explanation:
A List of Values (LOV) parameter provides the controlled runtime selection required in this scenario. In Oracle Analytics Publisher, a developer first defines a List of Values, which can contain either fixed values or values returned dynamically by a SQL query. The developer then creates a Menu parameter and associates that parameter with the LOV.
For a Department prompt, the LOV might return Department Name as the user-facing label and Department ID as the value passed into the report query. The selected value can then be referenced through a bind variable, allowing the underlying data set to retrieve only data corresponding to the user's department selection.
Oracle Publisher parameters support interaction with report data at runtime, while Menu parameters specifically present predefined lists. This provides controlled input and prevents users from entering arbitrary department identifiers.
Bursting is concerned with splitting and distributing report output. Translation functionality localizes report content. Layout Editor controls report presentation rather than query parameters.
Therefore, the feature that satisfies a predefined department selection before query execution is the List of Values parameter mechanism , making D correct.
Reference Topic: Exploring and Creating Reports and Data Models - Parameters and Lists of Values
NEW QUESTION # 48
You created a product-type dashboard prompt and applied it to the dashboard. When a user applies the prompt, two reports refresh as expected but two others do not. What are two possible reasons for this?
Answer: C,F
Explanation:
A dashboard prompt can affect an embedded analysis only when the analysis is configured to accept the prompt's value. A protected filter deliberately prevents a dashboard prompt from overriding that filter.
Oracle describes protected versus unprotected filters specifically as a mechanism controlling whether dashboard prompt values can determine an analysis's results. Therefore, a protected filter is a direct explanation for one of the non-responsive reports.
The second issue is a mismatch between the prompt column formula and the analysis filter formula .
Prompt wiring depends on the relevant column identity and formula being compatible. If the analysis uses a modified formula while the prompt targets another formula, Oracle cannot automatically apply the prompt as intended.
By contrast, an Is Prompted filter is specifically intended to receive a prompt value and is therefore normally part of a working configuration. Cache expiration does not explain selective prompt incompatibility, and simply containing measure columns is not itself the documented cause.
The two failed analyses should therefore be inspected for protected filters and formula mismatches between their filtering expressions and the dashboard prompt.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Dashboard Prompt Interaction
NEW QUESTION # 49
The administrator has navigated to the Console page and clicked Search Index. Which three items can be included in the index?
Answer: B,E,F
Explanation:
The correct selections are Shared Folders, User Folders, and Data Models . Oracle Analytics provides search indexing for two broad categories: data-model content and catalog content . Data-model indexing controls whether semantic-model metadata-and optionally permitted data values-is indexed. Catalog indexing crawls analytics objects stored within catalog folders.
Oracle's current documentation explicitly states that the automatic catalog crawl indexes both user folders and shared folders . Administrators can exclude User Folders by clearing the Index User Folders option, which confirms that User Folders are a configurable indexed category. Oracle separately provides the Data Model tab for configuring semantic-model search indexing.
"Content Folder" is not the equivalent third selectable category in this question; catalog content is indexed through the Catalog configuration, which includes user and shared folders. Templates and "Dashboards Only" are likewise not the three high-level choices represented by the documented Search Index configuration.
Correction: the uploaded document marks Shared Folders, Data Models, and Content Folder. That key conflicts with Oracle's documented Search Index behavior. The verified answer is A, C, D .
Reference Topic: Managing Administration, Security, and Performance - Search Indexing
NEW QUESTION # 50
A report designer needs to display sales performance by Region, Product Category, and Quarter in a highly interactive visual comparison. Which view is most appropriate?
Answer: B
Explanation:
A Trellis View is the most appropriate visualization for comparing the same measure across multiple dimensional categories. A trellis displays a series of related visualizations in a grid, allowing users to compare equivalent graphical structures across dimension members.
For example, the designer could use Region or Product Category as an outer-edge dimension and Quarter or another analytical dimension within the repeated visualizations. Because every trellis cell follows a consistent graphical framework, differences in sales performance become easier to identify across categories.
Oracle distinguishes between Simple Trellis and Advanced Trellis use cases. Oracle recommends Simple Trellis for general comparisons and Advanced Trellis when analyzing trends. The documentation also advises controlling dimensional density so that each repeated graph remains readable.
A Narrative View renders textual descriptions generated from query results and isn't optimized for comparative multidimensional visualization. A static table can present all values but provides less immediate visual comparison. A KPI is generally intended to summarize performance against targets rather than display a repeated multidimensional comparison across Region, Product Category, and Quarter.
Therefore, Trellis View best satisfies the scenario.
Reference Topic: Managing and Creating Analyses, Views, and Content - Trellis Views
NEW QUESTION # 51
During dashboard execution, a user selects a fiscal year from a prompt, and multiple analyses immediately refresh using that value. Which variable type is typically used to support this behavior?
Answer: A
Explanation:
A Presentation Variable is the variable type specifically designed to capture a value selected by a user through a dashboard prompt and make that value available dynamically to analyses and other dashboard content.
Oracle states that a presentation variable can be created as part of either a column prompt or a variable prompt . Whenever the user selects one or more values in the associated prompt, Oracle sets the presentation variable to the selected value or values. Analyses can then reference that variable in filters, column formulas, titles, narrative text, or other supported expressions.
In this scenario, selecting Fiscal Year at runtime establishes a user-controlled value that multiple analyses can consume. Because the value changes interactively as the user changes the prompt selection, Presentation Variable is the appropriate variable scope.
A Repository Variable is centrally managed and isn't normally populated from a user's dashboard selection.
Session variables generally hold user-specific or system values initialized for a login session. Initialization blocks are mechanisms used to populate certain server/session variables rather than the runtime dashboard variable required here.
Therefore, Presentation Variable precisely matches the described prompt-driven dashboard behavior.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Presentation Variables
NEW QUESTION # 52
......
If you buy our 1z0-1177-26 exam questions, we will offer you high quality products and perfect after service just as in the past. We believe our consummate after-sale service system will make our customers feel the most satisfactory. Our company has designed the perfect after sale service system for these people who buy our 1z0-1177-26 practice materials. We can promise that we will provide you with quality 1z0-1177-26 training braindump, reasonable price and professional after sale service. As long as you have problem on our 1z0-1177-26 exam questions, you can contact us at any time.
Exam 1z0-1177-26 Labs: https://www.pdfdumps.com/1z0-1177-26-valid-exam.html