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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding Oracle Analytics Cloud | 5% | |
| Topic 2: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Topic 3: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Topic 4: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Topic 5: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Topic 6: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Topic 7: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Topic 8: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Topic 9: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Topic 10: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% |
>> Latest 1z0-1177-26 Exam Questions <<
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NEW QUESTION # 84
A BI Publisher developer needs to create a reusable report template that contains corporate branding, reusable formatting, and standard legal disclaimers for multiple reports. What is the recommended approach?
Answer: C
Explanation:
A Publisher subtemplate is specifically intended to centralize reusable layout and processing components so that they can be referenced from multiple report templates. Oracle defines a subtemplate as formatting functionality that is created once and reused either multiple times in one layout or across multiple report- layout files.
Common Oracle-documented use cases include reusable headers, footers, address blocks, conditional layouts, calculations, and formatting logic . Corporate branding and standard legal disclaimers fit this design precisely. The developer can create an RTF subtemplate containing the standardized components, upload it as a Sub Template object in the Publisher Catalog, and then import and call the required template sections from individual RTF layouts.
If company branding or legal language changes, updating the centralized subtemplate minimizes maintenance across all reports that reference it.
Duplicating the content in every RTF layout creates consistency and maintenance problems. Separate layouts still duplicate common material. SQL data models should represent data retrieval and structure, not presentation branding.
Therefore, C. Create a subtemplate and reference it from report templates is Oracle's recommended reusable-design pattern.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - RTF Subtemplates
NEW QUESTION # 85
Which type of report is an example of the bursting feature in Pixel-Perfect Reporting?
Answer: E
Explanation:
Customized regional marketing reports represent an appropriate bursting use case because bursting is intended to take a single report data set, divide it into logically distinct sections, generate separate documents, and deliver those documents according to segment-specific criteria.
For example, an organization could retrieve enterprise marketing performance in one query and split the resulting data by Region. Publisher could then generate one report for Europe, another for North America, another for Asia-Pacific, and so forth. Each segment could be delivered to the appropriate regional manager and could use its own locale, output format, template, or delivery destination.
Oracle's documented bursting examples follow precisely this pattern: customer-specific invoices, separate financial reports for cost-center managers, and individualized employee payslips. Customized regional reports are another application of the same key-based segmentation and delivery architecture.
Bar codes and government PDF forms are valid pixel-perfect reporting scenarios but don't inherently require bursting. Interactive data exploration is associated with analytical visualization, and ad hoc reporting refers to dynamically created analyses rather than mass personalized document generation.
Therefore, customized regional marketing reports are the choice that directly demonstrates Publisher bursting.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Bursting Use Cases
NEW QUESTION # 86
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,F
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 # 87
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?
Answer: C,D
Explanation:
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
NEW QUESTION # 88
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?
Answer: B,D
Explanation:
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
NEW QUESTION # 89
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