この人材が多い社会で、人々はずっと自分の能力を高めていますが、世界で最先端のIT専門家に対する需要が継続的に拡大しています。ですから、Oracleの1z0-1177-26認定試験に受かりたい人が多くなります。しかし、試験に受かるのは容易なことではないです。実は良いトレーニング資料を選んだら試験に合格することは不可能ではないです。Jpshikenが提供したOracleの1z0-1177-26「Governed Analytics Professional with Oracle Analytics Cloud」試験トレーニング資料はあなたが試験に合格することを助けられます。Jpshikenのトレーニング資料は大勢な受験生に証明されたもので、国際的に他のサイトをずっと先んじています。Oracleの1z0-1177-26認定試験に合格したいのなら、Jpshikenが提供したOracleの1z0-1177-26トレーニング資料をショッピングカートに入れましょう。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 2: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Topic 3: Data Modeling and Semantic Design | 30% | - Semantic Model Design
|
| Topic 4: Governance, Security, and Administration | 25% | - User and Access Governance
|
| Topic 5: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
当社Oracleが採用した「小利益」の方針により、すべてのお客様と当社の間で双方に有利な状況を達成することを目指しているため、1z0-1177-26のすべてのお客様の信頼を獲得することができました。 当社Jpshikenが長年にわたってこの1z0-1177-26試験問題の分野で業界のリーダーになっており、当社の1z0-1177-26試験のGoverned Analytics Professional with Oracle Analytics Cloud教材が世界中でこんなに迅速に販売されているにもかかわらず、手頃な価格を維持しているのはそのためです。 すべてのお客様向けの1z0-1177-26学習ガイドであり、有名なブランドを活用したくない。
質問 # 75
A report requires users to select a department from a predefined list before the query executes. Which Oracle Analytics Publisher feature satisfies this requirement?
正解：B
解説：
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
質問 # 76
Which Oracle Analytics Cloud administrative feature allows scheduled execution and delivery of analyses or alerts when predefined conditions are met?
正解：B
解説：
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
質問 # 77
An author creates an analysis that includes at least one hierarchical column and clicks the Results tab. What view is automatically created for the analysis?
正解：E
解説：
Oracle Analytics determines the default result view according to the types of columns included in the analysis. Oracle documentation states that when an analysis contains only attribute and measure columns, the Compound Layout initially contains a table . However, when the analysis contains at least one hierarchical column , Oracle automatically creates a pivot table view .
This behavior is intentional because a pivot table is designed to represent hierarchical structures effectively. It supports expansion and collapse of hierarchy members, multidimensional presentation, and hierarchical navigation in ways that a conventional flat table doesn't.
A trellis view is useful for repeated visual comparisons across dimensions but isn't automatically generated merely because a hierarchy is present. Graph and gauge views must generally be added explicitly when appropriate. Likewise, the statement that every analysis defaults to a table is incorrect because Oracle specifically distinguishes hierarchical analyses from analyses containing only attribute and measure columns.
Therefore, once the author selects Results for an analysis containing a hierarchical column, the default result visualization is a Pivot Table . This behavior is directly documented in Oracle's Analysis Results guidance.
Reference Topic: Managing and Creating Analyses, Views, and Content - Hierarchical Columns and Default Views
質問 # 78
You must create a custom sales report for each of 3,200 sales representatives using Oracle Analytics Cloud Enterprise Edition. Which tool must you use and why?
正解：E
解説：
Pixel-Perfect Reporting with Bursting is specifically designed for high-volume personalized document generation and distribution. Oracle Analytics Publisher executes the underlying report query, splits the resulting data according to a configured Split By key, generates a separate document for each resulting block, and determines formatting and delivery through the bursting delivery definition.
This architecture is well suited to producing 3,200 individualized sales reports. A sales-representative identifier can act as the bursting key, allowing one report definition and one data-extraction process to generate separate reports for each representative. Each segment can also use destination-specific delivery information, templates, output formats, locale settings, and delivery channels.
Oracle documents analogous bursting use cases such as generating individual cost-center reports for managers, customer invoices with customer-specific delivery preferences, and payslips for all employees from one extract. The same design pattern applies directly to thousands of sales representatives.
SMTP only provides an email transport mechanism; it doesn't perform report segmentation. Smart View is an Office-based analytics client. Agents automate analytical delivery but aren't the Publisher document-splitting technology required here.
Therefore, Pixel-Perfect Reporting with Bursting is the scalable solution.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Report Bursting
質問 # 79
A designer creates a report directly from an Oracle Analytics Cloud subject area. The report includes calculations that depend on original column functions. Which risk should the designer consider?
正解：E
解説：
The principal risk is that COUNT DISTINCT, AVG, and similar calculations can produce unexpected or different results when Publisher receives data that has already been summarized by Oracle Analytics .
When a report is created directly against a subject area, the BI Server performs semantic-model processing and aggregation before delivering the result set to Publisher. Publisher therefore does not necessarily receive the original detailed rows required to reproduce certain aggregate calculations accurately.
Oracle specifically cautions that subtotals and totals for subject-area reports are based on data already summarized by the BI Server. Functions requiring access to the original column-level data-Oracle explicitly identifies count distinct and average -can consequently return different results when reapplied within Publisher.
A data model is not mandatory when directly creating a subject-area report; direct subject-area reporting is specifically supported. Hierarchical columns are also not required and, in fact, have limitations in Publisher subject-area reports. The Create Report guide can directly query a subject area without requiring an intermediary Publisher data model.
Therefore, designers must understand the grain and aggregation state of data received from the semantic layer before introducing additional aggregate calculations.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - Subject Area Reports
質問 # 80
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