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| Section | Weight | Objectives |
|---|---|---|
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Bursting and delivery - Publisher administration - Scheduling reports - Managing report data sources - Report translations |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Performance and caching - Security and application roles |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing selection steps - Managing filters - Using prompts and variables |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Dashboard prompts and pages - Enhancing dashboards and briefing books |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Formatting and customizing reports - Using RTF Template Builder - Creating Excel and eText templates |
>> Current 1z0-1177-26 Exam Content <<
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NEW QUESTION # 62
An author repeatedly uses the same state filter in multiple analyses and wants to reuse the filter. What should the author do?
Answer: C
Explanation:
The author should save the filter as a named filter in the catalog . Oracle Analytics distinguishes between inline filters and named filters. An inline filter belongs to one specific analysis, whereas a named filter is stored independently in the Oracle Analytics Catalog and can subsequently be referenced by multiple compatible analyses.
This is particularly useful for centrally reused business criteria. For example, an organization might create a named filter representing a specific State, Quarter, business unit, or product group. Report authors can then apply that saved filter to multiple analyses rather than recreate the filter definition repeatedly. Oracle also notes that when a named filter is edited and saved, changes can propagate wherever the named filter is referenced, improving consistency and maintainability.
Changing AND/OR grouping merely modifies logical relationships between existing filters and doesn't make the filter independently reusable. Drilling changes the current analytical detail level. A dashboard prompt provides runtime filtering but isn't required simply to reuse the same predetermined filter definition.
Therefore, the appropriate reusable object is a Named Filter saved in the Catalog .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Named Filters
NEW QUESTION # 63
A developer is using Template Builder for Microsoft Word to create a translation file from an existing Oracle Analytics Publisher template. Which action creates the XLIFF translation file?
Answer: A
Explanation:
Template Builder for Microsoft Word provides dedicated translation tools for extracting translatable text from an RTF template into an XLIFF (.xlf) file . Oracle's documented procedure is to open the template with Template Builder installed and, from the Template Builder tools, choose Translation # Extract Text .
Publisher then extracts the template's translatable boilerplate strings and creates an XLIFF file.
Typical translatable strings include report titles, table headers, field labels, and static textual content intended to appear in generated output. Data supplied dynamically at runtime isn't extracted as template translation text.
The resulting XLIFF file can then be provided to a translator or edited with an XLIFF-compatible tool. After translation, it is associated with the original report template for the appropriate locale. Preview Translation is used later to test an already-created translation; it doesn't generate the initial XLIFF file. Uploading a localized RTF file represents a different localization strategy. Changing the user's report locale also doesn't perform text extraction.
Thus, Translation # Extract Text is the specific Template Builder command that creates the XLIFF translation file.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - XLIFF Translation
NEW QUESTION # 64
An author wants to limit which members are displayed in an analysis without changing the resulting values like a filter would. Which two statements describe selection steps?
Answer: E,F
Explanation:
Selection steps differ fundamentally from conventional filters in their position within analytical processing.
Oracle states that filters are evaluated before aggregation , whereas selection steps are applied after the query has been aggregated . As a result, selection steps determine which members are displayed without recalculating the previously established aggregate values.
For example, assume a hierarchy contains members totaling 100. If an ordinary filter removes one member before aggregation, the measure total can change. If a selection step removes that member after aggregation, the displayed membership changes while the aggregate can remain 100. This behavior is precisely why selection steps are valuable for analytical member manipulation such as Keep Only, Add, Remove, or condition-based selections.
Within classic analyses, Oracle supports creation of selection steps for attribute columns and hierarchical columns . Measure columns can be used to formulate conditions for selection steps, but selection steps aren't directly created for measures themselves.
Selection steps don't replace filters; both serve distinct analytical purposes. They also aren't restricted to pivot tables.
Therefore, C and D correctly identify their applicable column types and their post-aggregation effect on displayed members.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Selection Steps
NEW QUESTION # 65
An administrator has replicated on-premises data to a cloud database and is updating RPD connection pools before migration. Which two connection-pool settings or checks should the administrator apply?
Answer: A,E
Explanation:
Before migrating a semantic model to Oracle Analytics Cloud, database connection information in every relevant connection pool must be updated for the cloud database. Oracle specifically requires the Call Interface to be Oracle Call Interface (OCI) for Oracle Database connections. In addition, for Oracle Analytics Cloud migration scenarios, the Data Source Name must contain the full connect string for the database containing the replicated data.
Oracle's current semantic-model migration guidance is explicit that a net service name isn't sufficient in this OAC scenario. This differs from some Oracle Analytics Server deployments where tnsnames.ora aliases can be supported. The cloud migration workflow therefore requires administrators to examine each connection pool, not merely the first connection associated with a database object.
ODBC isn't the recommended Oracle Database interface for this configuration, and restarting the BI Server after every individual connection-pool modification isn't part of the specified preparation procedure.
Thus, the required combination is OCI as the call interface and the complete database connect string as the Data Source Name , exactly matching D and E.
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Preparing Semantic Models
/RPDs for Oracle Analytics Cloud
NEW QUESTION # 66
A user created a dashboard and wants to prevent other users from modifying it. What should the user do?
Answer: B
Explanation:
The appropriate Catalog control is to set the dashboard object to Read-Only . Oracle Analytics allows administrators-and owners for objects they control-to open a catalog item's Properties and modify its access-related attributes. Oracle specifically gives setting an analytics object to read-only as an example of preventing other users from modifying the content.
This setting addresses the requirement directly because the dashboard remains available for consumption while modifications are restricted according to the object's permissions and ownership configuration. It is therefore preferable to mechanisms that would alter discoverability or content organization without enforcing edit protection.
Adding an object to Favorites merely creates a personal shortcut and has no security effect. Transferring ownership doesn't inherently prevent the new owner or other permitted users from modifying the dashboard.
Renaming affects catalog references and naming, not write permissions. Archiving creates an archive representation for migration or backup purposes and doesn't constitute the normal method for protecting an active dashboard against edits.
Thus, the correct procedure is to locate the dashboard in the Catalog, open Properties , and configure the item as Read-Only .
Reference Topic: Managing Administration, Security, and Performance - Catalog Object Properties and Read-Only Content
NEW QUESTION # 67
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