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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding Oracle Analytics Cloud | 5% | |
| Topic 2: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Topic 3: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Topic 4: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Topic 5: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Topic 6: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Topic 7: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Topic 8: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Topic 9: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Topic 10: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% |
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NEW QUESTION # 35
A user needs the wallet file for an Autonomous Data Warehouse before creating the SQL Developer connection. Which two actions are required to retrieve the wallet file?
Answer: A,D
Explanation:
The Autonomous Data Warehouse wallet is obtained from the Oracle Cloud Infrastructure Console , not generated by SQL Developer. The administrator or authorized user first navigates to the appropriate compartment and selects the Autonomous Database instance. From the database details, the Database Connection function provides access to client credentials.
Oracle's current procedure then requires selecting the appropriate wallet type and choosing Download Wallet
. A password is supplied and confirmed to protect the downloaded wallet package. The resulting ZIP file contains the secure client credentials and network configuration needed by supported database clients.
SQL Developer uses the wallet only after it has been downloaded. Selecting a service name therefore belongs to the subsequent database-connection process rather than wallet retrieval. Running SQL Developer doesn't need to precede access to the OCI database details, and an independently downloaded JDBC driver isn't a prerequisite for obtaining the wallet.
The terminology in option D uses the older DB Connection label, while current OCI documentation generally uses Database connection , but the workflow remains the same. Therefore, B and D are correct.
Reference Topic: Connecting to Data Sources - Autonomous Data Warehouse Client Credentials and Wallets
NEW QUESTION # 36
While creating a data model in Oracle Analytics Publisher, a developer needs to retrieve data directly from an Oracle Database using a custom SQL statement. Which data set type should be used?
Answer: C
Explanation:
A SQL Query Data Set is the appropriate Publisher data-set type when a report data model must retrieve relational data by executing a custom SQL statement. In the Data Model Editor, the developer selects New Dataset # SQL Query , chooses the required configured data source, and then enters a Standard SQL statement or invokes Query Builder to construct the statement graphically.
Oracle Analytics Publisher supports SQL Query Data Sets against Oracle Database and other supported relational sources. The SQL can contain standard SELECT logic and can also be extended with supported bind variables and other Publisher capabilities where required. This gives the developer direct control over the data retrieved for the report.
An XML Data Set consumes XML-based data rather than running relational SQL. An Excel Data Set retrieves spreadsheet content, while generic file-based options don't provide direct execution of a custom Oracle Database SQL statement.
Oracle's official documentation explicitly instructs developers to create an SQL Query dataset for this requirement. Therefore, C directly matches the described data-access method.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - SQL Query Data Sets
NEW QUESTION # 37
A report developer wants to create a formatted report without writing RTF templates or custom code. Which Oracle Analytics Publisher component should be used?
Answer: A
Explanation:
The Layout Editor is Oracle Analytics Publisher's browser-based visual report-design environment. Oracle describes it as a web-based, WYSIWYG, drag-and-drop tool for creating Publisher layouts without requiring authors to manually write an RTF template or formatting code.
Using Layout Editor, the author can insert and arrange components such as tables, charts, pivot tables, images, text items, and layout grids. Component properties, formatting, grouping, sorting, and other presentation characteristics can then be configured through the graphical interface. Layout Editor-generated XPT layouts support interactive browser viewing and a broad range of output types.
A SQL Worksheet is a database-query development environment and doesn't design Publisher report layouts.
Catalog Manager manages analytics catalog content rather than visually designing reports. Data Gateway handles remote data connectivity and has no report-formatting role.
This scenario specifically states that the developer wants formatted output without writing RTF templates or custom code , which precisely matches the purpose of Publisher Layout Editor.
Therefore, A. Layout Editor is the correct selection.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Publisher Layout Editor
NEW QUESTION # 38
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?
Answer: B
Explanation:
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
NEW QUESTION # 39
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?
Answer: D
Explanation:
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
NEW QUESTION # 40
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