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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Topic 2: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Topic 3: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Topic 4: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Topic 5: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Topic 6: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Topic 7: Understanding Oracle Analytics Cloud | 5% | |
| Topic 8: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Topic 9: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Topic 10: Building and Formatting Reports Using Layout Editor and Template Builder | 15% |
>> Relevant Oracle 1z0-1177-26 Answers <<
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NEW QUESTION # 40
An analyst wants to highlight sales values above target in green and values below target in red without changing the underlying data. Which feature should be used?
Answer: C
Explanation:
Conditional Formatting is specifically designed to modify the visual representation of data when defined conditions are satisfied while leaving the underlying values unchanged. The analyst can establish rules such as Sales greater than or equal to Target and apply one format, while values below Target receive a different format.
Oracle Analytics supports conditional rules based on measures, attributes, thresholds, percentages, and expressions. Formatting can include font characteristics, cell presentation, images, backgrounds, and visualization-specific properties. Oracle's examples include stoplight-style formatting in which low, medium, and high values receive different visual treatments.
This functionality affects presentation only; it doesn't alter the source Sales values or change the actual calculation. That directly satisfies the requirement.
A Repository Variable stores centrally maintained values and isn't itself a visualization rule. Selection Steps determine which members appear after query aggregation. A Subject Area Filter limits the data returned or made available rather than simply changing its appearance.
Consequently, the appropriate feature for showing above-target values in green and below-target values in red is Conditional Formatting , making A correct.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Conditional Formatting
NEW QUESTION # 41
What is the purpose of views in analyses?
Answer: A
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 # 42
A multinational organization wants reports to automatically display translated labels based on each user's selected language. Which Oracle Analytics Publisher feature supports this requirement?
Answer: A
Explanation:
XLIFF translation files are Oracle Analytics Publisher's standard mechanism for translating textual content in report templates. XLIFF-XML Localization Interchange File Format-contains translatable strings such as report titles, table headers, labels, and other boilerplate text that appears in generated output.
Publisher can extract those strings from an RTF template, allow them to be translated into one or more languages, and then associate each translated XLIFF file with the original template under the corresponding locale. At runtime, Publisher evaluates the user's selected Report Locale and automatically selects the matching localized template or XLIFF translation according to its locale fallback rules.
This supports a single underlying report definition while presenting labels in French, Japanese, English, or other configured languages.
Report Bursting controls splitting and delivery rather than language translation. Repository Variables store shared semantic values, while Dashboard Prompts collect user selections and don't provide template- localization infrastructure.
Therefore, XLIFF translation files directly satisfy the requirement for automatically localized report labels based on the user's selected language or report locale.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - XLIFF Localization
NEW QUESTION # 43
A reporting analyst creates a dashboard that includes multiple analyses sharing the same filter criteria. Users complain that updating each analysis separately is difficult. Which design approach improves maintainability?
Answer: A
Explanation:
A shared Dashboard Prompt with Presentation Variables centralizes user input and allows multiple dashboard analyses to reference the same runtime selection. Oracle defines a Presentation Variable as a variable populated through a dashboard column prompt or variable prompt. Each time the user changes the prompt selection, the presentation variable is assigned the selected value or values.
Analyses on the dashboard can then reference the variable in filters, expressions, titles, or other supported locations. This allows a department, fiscal period, region, or comparable filter criterion to be selected once and reused across multiple dashboard components.
The architecture substantially improves maintainability because the dashboard-level interaction is managed centrally rather than requiring a separate prompt or manually maintained filter mechanism for every analysis.
Independent prompts would recreate the exact maintenance problem stated in the scenario. Conditional Formatting changes visual presentation rather than providing shared filtering, while exporting analyses creates static outputs and eliminates the interactive dashboard experience.
Therefore, the correct design is A. Use a shared Dashboard Prompt with Presentation Variables .
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Prompts and Presentation Variables
NEW QUESTION # 44
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 # 45
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