1z0-1177-26科目対策 & 1z0-1177-26資格問題対応

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Oracle 1z0-1177-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deployment and Operational Governance10%- Content Publishing and Scheduling
  • 1. Schedule reports and govern distribution
    Topic 2: Data Modeling and Semantic Design30%- Semantic Model Design
    • 1. Define logical joins, calculated columns, hierarchies
      • 2. Build semantic models with subject areas
        - Data Source Connections and Integration
        • 1. Connect to various data sources
          • 2. Manage datasets and data preparation
            Topic 3: Advanced Analytics and Insights15%- Augmented Analytics Features
            • 1. Use Explain, Auto Insights, and statistical functions
              Topic 4: Visualization and Reporting20%- Dashboards and Workbooks
              • 1. Apply storytelling, narration, and interactivity
                • 2. Design governed visualizations and reports
                  Topic 5: Governance, Security, and Administration25%- User and Access Governance
                  • 1. Manage users, roles, and permissions
                    • 2. Implement row-level security and data access policies
                      - Content Lifecycle Management
                      • 1. Govern content publishing and versioning
                        • 2. Manage workspaces and content promotion

                          >> 1z0-1177-26科目対策 <<

                          1z0-1177-26試験の準備方法|有難い1z0-1177-26科目対策試験|便利なGoverned Analytics Professional with Oracle Analytics Cloud資格問題対応

                          数年以来の整理と分析によって開発された1z0-1177-26問題集は権威的で全面的です。1z0-1177-26問題集を利用して試験に合格できます。この問題集の合格率は高いので、多くのお客様から1z0-1177-26問題集への好評をもらいました。1z0-1177-26問題集のカーバー率が高いので、勉強した問題は試験に出ることが多いです。だから、弊社の提供する1z0-1177-26問題集を暗記すれば、きっと試験に合格できます。

                          Oracle Governed Analytics Professional with Oracle Analytics Cloud 認定 1z0-1177-26 試験問題 (Q25-Q30):

                          質問 # 25
                          A dashboard author wants users to see a list of briefing books on a dashboard page. How should the author configure the dashboard page?

                          正解:B

                          解説:
                          Oracle provides a specific Dashboard Builder procedure for displaying a list of briefing books . The briefing books should be stored in a catalog folder. The dashboard author then drags a Folder object from the Dashboard Objects pane into the required dashboard section and opens its properties. In Folder Properties , the author specifies the folder containing the briefing books.
                          At runtime, the Folder object presents the folder's available briefing books to authorized users. Oracle also allows the author to control whether the folder initially appears expanded.
                          The Add to Briefing Book option performs the opposite task: it adds dashboard-page or analysis content into a briefing book rather than displaying a collection of existing briefing books. Downloading individual PDF versions likewise doesn't create a dashboard-accessible list. Saved Customizations preserve dashboard state and prompt selections, not catalog-folder contents.
                          Oracle's documented workflow directly specifies: add a Folder object, open Folder Properties, and identify the folder containing the briefing books. Therefore, option A precisely implements the required dashboard behavior.
                          Reference Topic: Designing, Creating, and Enhancing Dashboards - Briefing Books and Folder Objects


                          質問 # 26
                          A user has downloaded a password-protected wallet and is adding a new SQL Developer connection to an Autonomous Data Warehouse. Which two settings are required in the New Database Connection dialog box?

                          正解:B、F

                          解説:
                          The intended answer is B and D , but the terminology is version-specific. Oracle SQL Developer historically used the connection type Cloud PDB for wallet-based Autonomous Database connections. The user selected Cloud PDB, browsed to the downloaded client-credentials ZIP file, supplied the wallet/keystore password, selected the database service, tested the connection, and saved it.
                          Oracle subsequently renamed this connection type Cloud Wallet . Current Oracle documentation specifies Cloud Wallet, the client-credentials configuration file, database user credentials, and an appropriate service name. Oracle explicitly notes that Cloud PDB is the older name , including in SQL Developer 18.2-era workflows. Therefore, option B remains the intended examination choice because Cloud Wallet isn't offered among the options.
                          The service list represents database service names such as high, medium, or low service configurations; it doesn't represent OCI compartments. ODBC and Basic connections aren't the wallet-based configuration described.
                          Accordingly, B and D match the historical workflow reflected by the question, while candidates should recognize that Cloud Wallet is the current SQL Developer terminology .
                          Reference Topic: Connecting to Data Sources - SQL Developer Connections to Autonomous Data Warehouse


                          質問 # 27
                          A BI developer needs to migrate dashboards, analyses, and catalog objects from a development environment to production. Which Oracle Analytics migration artifact is typically used?

                          正解:D

                          解説:
                          A BAR file is the archive format used when exporting an Oracle Analytics Cloud snapshot for migration or backup. Oracle's current migration workflow is presented through Console # Snapshots . An administrator takes or selects a snapshot, exports it, and downloads the resulting archive as a file with the .bar extension.
                          The BAR snapshot can contain Oracle Analytics content and configuration, including catalog artifacts such as analyses and dashboards, semantic-model content, application roles, and other supported environment metadata depending on the snapshot and restore options. The administrator then imports the BAR file into the target OAC environment and restores the required content.
                          This makes snapshot/BAR migration repeatable and substantially safer than manually rebuilding or copying individual analytical objects. Oracle's current documentation explicitly shows the browser downloading bar_file_name.bar and subsequently importing that snapshot into the target environment.
                          Excel workbooks aren't environment migration packages. XML templates apply to specific Publisher or metadata scenarios, while SQL scripts can't package Oracle Analytics Catalog content and service configuration.
                          Therefore, BAR File is correct, with current OAC terminology commonly describing it as an exported snapshot (.bar) .
                          Reference Topic: Connecting to Data Sources and Migrating Artifacts - OAC Snapshots and BAR Files


                          質問 # 28
                          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:A

                          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 # 29
                          Users report that frequently executed analyses are taking longer than expected even though the underlying data changes only once each day. Which feature can improve query response time?

                          正解:B

                          解説:
                          Query caching is specifically designed to improve response time for repeated analytical queries. Oracle Analytics Cloud stores previously computed query results in a local query cache. When a later request can be satisfied from an existing cache entry, Oracle Analytics can return the precomputed result rather than execute another request against the underlying database.
                          This scenario is particularly suitable for caching because the underlying data changes only once per day. The administrator can therefore maintain a cache lifecycle aligned with the daily refresh process. After source data changes, relevant cache entries should be purged or refreshed to prevent stale results. Between refreshes, frequently repeated analyses can achieve significant performance improvements while reducing database processing, network traffic, and Oracle Analytics processing overhead.
                          Disabling caching would increase repeated source-system workload. Adding dashboard prompts doesn't inherently reduce query execution cost. Moving analyses into Personal Folders changes catalog organization and access, not query-processing efficiency.
                          Oracle explicitly states that query caching can dramatically improve query performance by satisfying subsequent requests without accessing back-end data sources. Therefore, D is correct.
                          Reference Topic: Managing Administration, Security, and Performance - Query Cache Management


                          質問 # 30
                          ......

                          1z0-1177-26試験は難しいですが、あまり心配する必要がありません。ふさわしい復習の方法を利用したら、気楽に1z0-1177-26試験に合格するのは可能です。あなたはいい方法を探しましたか?今我々は一番適当の方法を提供しています。我々の1z0-1177-26参考書を利用したら、あなたは試験に簡単に合格することができます。我々の商品は大好評を博しましたので、あなたに推薦します。

                          1z0-1177-26資格問題対応: https://www.passtest.jp/Oracle/1z0-1177-26-shiken.html