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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 2: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Topic 3: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Creating and designing dashboards - Enhancing dashboards and briefing books |
| Topic 4: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing filters - Using prompts and variables - Managing selection steps |
| Topic 5: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Topic 6: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Security and application roles - Performance and caching |
| Topic 7: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing analyses - Creating and managing views |
| Topic 8: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using RTF Template Builder - Formatting and customizing reports - Creating Excel and eText templates - Using Layout Editor |
| Topic 9: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Publisher administration - Scheduling reports - Bursting and delivery - Report translations |
| Topic 10: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
1z0-1177-26試験問題の99％の合格率を確保できます。 1z0-1177-26学習ガイドを使用すると、1z0-1177-26試験に合格できます。そして、Oracleはあなたが想像できる正しいことです。必ず1z0-1177-26認定を希望します。そこで、1z0-1177-26試験資料と同じくらい優れたツールを使用して、わずか20〜30時間勉強して練習してから試験に合格してみませんか。さまざまなバージョンのGoverned Analytics Professional with Oracle Analytics Cloud試験ブレーンダンプを使用すると、いつでもどこでも勉強と練習ができます。
質問 # 25
A developer needs to design a highly formatted Microsoft Word-based report template containing company branding, repeating groups, and conditional formatting. Which tool should be used?
正解：B
解説：
Template Builder for Word is specifically designed for developing sophisticated Oracle Analytics Publisher RTF templates within Microsoft Word . It is installed as a Word add-in and simplifies insertion of Publisher data fields, tables, repeating groups, charts, forms, processing instructions, and other report components.
RTF templates retain access to Microsoft Word's native document-formatting features. This makes them particularly appropriate for reports requiring corporate branding, precisely positioned text, headers and footers, images, complex tables, and other print-oriented formatting. Publisher's RTF processing capabilities additionally support conditional formatting, grouping, dynamic columns, calculations, and other advanced report logic.
Oracle's official documentation identifies Template Builder as an add-in that automates insertion of frequently used Publisher components and provides tools to preview output using sample XML data. The underlying RTF format also supports more complex Publisher processing instructions where required.
Dashboard Builder creates analytical dashboards rather than Word-based templates. SQL Developer is a database-development tool. Catalog editing doesn't provide Word document formatting.
Therefore, Template Builder for Word is the correct tool for this highly formatted RTF reporting requirement.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Template Builder for Word
質問 # 26
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?
正解：B、D
解説：
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
質問 # 27
A scheduled report job uses a schedule trigger. The SQL query in the trigger returns no data when the job is scheduled to run. What is the result?
正解：E
解説：
The scheduled job instance is skipped . Oracle Analytics Publisher defines a Schedule Trigger as a SQL query that is executed when the scheduled report job is triggered, before the report itself runs. The returned result determines whether the execution condition has been satisfied.
Oracle states explicitly that if the trigger SQL returns data , the associated report job executes. If the SQL query returns no data , the job instance is skipped. This mechanism allows report execution to depend on a business or technical condition. For example, a report could execute only after an ETL process has completed, only when transactions exceed a specified amount, or only when new records have appeared.
The trigger doesn't convert the job into a bursting job, nor does Publisher execute an empty report merely with a warning. The scheduled job definition also isn't deleted; only that execution instance is skipped. For recurring schedules, subsequent trigger evaluations can still occur according to the configured recurrence and retry behavior.
Therefore, a no-row result from the Schedule Trigger means its condition evaluated as not satisfied and the current job instance is skipped .
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Schedule Triggers
質問 # 28
A security administrator wants to assign analytics privileges to multiple users without configuring permissions individually. What is the recommended approach?
正解：D
解説：
The recommended Oracle Analytics security model is to manage permissions through Application Roles . An application role represents a set of permissions determining what its members can see and do in Oracle Analytics Cloud. Administrators can assign users, groups, and even other application roles as members, allowing authorization to be administered centrally.
This is considerably more scalable than granting permissions individually. For example, an administrator can create or use an application role for Finance Analysts, assign the required analytics privileges and content permissions to that role, and then add all qualifying users to it. When staffing changes occur, administrators modify membership rather than repeatedly redesigning permissions.
Oracle's current guidance explicitly states that it is a best practice to assign permissions through application roles. Predefined roles such as BI Content Author and BI Consumer provide standard capabilities, while user- defined application roles can be created for organization-specific requirements.
Separate catalogs and duplicate dashboards would create unnecessary management overhead. Database accounts don't replace Oracle Analytics application-layer authorization.
Therefore, assigning users to Application Roles is the correct scalable approach.
Reference Topic: Managing Administration, Security, and Performance - Application Roles
質問 # 29
A development team has completed new dashboards and BI Publisher reports. Before deploying them to production, they need a repeatable migration process that preserves dependencies and configuration. Which approach is recommended?
正解：B
解説：
Oracle Analytics Cloud uses snapshots , which can be exported as BAR files , to provide a controlled and repeatable mechanism for migrating analytics content between environments. A snapshot can package supported service content and configuration, including catalog objects such as dashboards and analyses, Publisher artifacts, semantic-model content, application-role information, and other applicable configuration.
Oracle's documented migration workflow is to create a snapshot in the source environment, export the snapshot as a .bar file, import that BAR file into the target Oracle Analytics Cloud instance, and then restore the required components. The Custom restore option allows administrators to select which elements are transferred when the target environment contains configuration that must remain unchanged.
Manual catalog copying does not provide the same dependable migration of dependencies and service configuration. Recreating dashboards in production is inefficient and prone to configuration drift. PDF files are generated outputs and cannot recreate Analytics or Publisher objects.
Therefore, the repeatable Oracle-supported deployment mechanism represented in the choices is exporting and importing a snapshot using a BAR file .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Snapshots and BAR Migration
質問 # 30
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