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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 2: Governance, Security, and Administration | 25% | - User and Access Governance
|
| Topic 3: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Topic 4: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Topic 5: Data Modeling and Semantic Design | 30% | - Data Source Connections and Integration
|
1z0-1177-26の実際の試験をOracle購入し、スコアを提供したお客様から得られたデータは、1z0-1177-26試験問題の高い合格率が98％〜100％であることを示しています。 これは、市場で見つけて比較するのが難しいです。 そして、CertJuken優秀なクライアントからの数多くの熱烈なフィードバックは、1z0-1177-26の勉強の急流だけでなく、オンラインの誠実で役立つ24時間のカスタマーサービスにも高い評価を与えています。 これらはすべて、私たちがこのキャリアで最高のベンダーであり、1z0-1177-26試験の最初の試行で成功を収める権限があることをGoverned Analytics Professional with Oracle Analytics Cloud証明しています。
質問 # 20
A report uses sensitive data. The owner wants cached report data to be separated by user, and users should be able to request fresh data. Which two caching settings support these requirements?
正解：C、F
解説：
The correct settings are User Can Refresh Report Data and User Level caching . Oracle Analytics Publisher defines User Level caching as maintaining a separate cache for each user. With this option enabled, the cached data presented to one user comes from that user's private cache rather than a cache shared with other consumers. This is particularly relevant when report results contain user-sensitive or security-filtered information.
The User Can Refresh Report Data property addresses the second requirement. When enabled, Publisher provides the user with the ability to request a refresh from the Report Viewer. Publisher then generates a new data set instead of continuing to use the existing cached copy.
Caching Duration only controls how long cached data remains valid; setting it to zero does not establish user- specific isolation as described in the scenario. Disabling data caching would eliminate the caching requirement altogether rather than maintaining secure per-user caches. Document Caching stores the generated report document-data plus layout-not merely the parameter list. Clearing all caches following every execution would undermine the performance purpose of caching.
Therefore, A provides freshness on demand , while D supplies user-level cache isolation .
Reference Topic: Managing and Securing Oracle Analytics Publisher - Report Properties and Caching
質問 # 21
An organization wants business users to build analyses without knowing SQL while still using governed enterprise data. Which Oracle Analytics Cloud capability enables this approach?
正解：B
解説：
Subject Areas provide the business-oriented interface that enables analysts to create governed analyses without writing SQL. Oracle defines subject areas as logical collections of related business information exposed from a deployed semantic model. They contain presentation tables, columns, measures, hierarchies, and other analytical objects that business users can select through the Analysis Editor.
The semantic model hides the complexity of underlying database structures. A user can therefore select concepts such as Customer, Product, Revenue, Quarter, or Region rather than determine physical table names, joins, aggregation rules, or SQL syntax. When an analysis executes, the Oracle Analytics query engine uses the semantic-model metadata to generate the appropriate physical queries against the source systems.
This model combines usability with governance because calculations, relationships, security rules, and business definitions remain centrally managed.
Direct SQL requires technical query knowledge and bypasses much of the business-friendly abstraction the scenario demands. Database triggers serve transactional database functions, while OCI Object Storage is a storage service rather than a semantic reporting interface.
Therefore, Subject Areas are the correct capability for governed, SQL-free business analysis.
Reference Topic: Managing and Creating Analyses, Views, and Content - Subject Areas
質問 # 22
Which action creates a reusable calculated metric that remains available within the current analysis?
正解：A
解説：
Adding a Calculated Column allows an analysis author to derive a new analytical value from existing columns or expressions without changing the underlying physical source data. The calculation becomes part of the current analytical definition and can be referenced throughout the analysis where supported.
Calculated expressions are useful for metrics such as profit percentage, variance, adjusted revenue, unit price, ratios, and other values derived from existing measures or attributes. This provides flexibility at the content- authoring layer while leaving centrally governed semantic-model objects unchanged.
The scope described in the question is important: the calculation must remain reusable within the current analysis . If the organization needed the metric governed and reusable across many analyses, defining the calculation centrally in the semantic model would normally provide stronger enterprise consistency.
A Dashboard Prompt supplies runtime values and filtering rather than creating calculated metrics. BAR files are migration artifacts and don't constitute an analysis calculation mechanism. Application Roles control authorization and permissions.
Therefore, among the available choices, Adding a Calculated Column is the function that creates the required derived metric in the analysis. The uploaded question explicitly associates this behavior with a calculated column.
Reference Topic: Managing and Creating Analyses, Views, and Content - Calculated Columns and Derived Metrics
質問 # 23
An analyst wants an analysis to always display data for the currently logged-in user's assigned sales region without requiring manual input. Which variable type is most appropriate?
正解：B
解説：
A Session Variable is the appropriate choice because its value is associated with an individual user's Oracle Analytics session. Oracle states that session variables are initialized when a user signs in and remain available throughout that user's browsing session. A non-system session variable can therefore hold contextual values such as the user's department, organizational unit, or SalesRegion .
For this scenario, an initialization block can retrieve the user's assigned region during authentication. An analysis can reference that session variable in a data filter, causing each user to receive automatically filtered results without entering a region manually. Oracle explicitly uses user department and sales region as examples of session-variable values.
A Presentation Variable is normally populated interactively through a dashboard or analysis prompt, which violates the requirement for no manual input. A semantic model/repository variable generally holds a value shared more broadly rather than a user-specific login value. A Request Variable temporarily overrides a session variable for an individual request.
Therefore, Session Variable directly provides the required user-specific, login-initialized analytical context.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Session Variables
質問 # 24
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 # 25
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