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| Section | Weight | Objectives |
|---|---|---|
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Formatting and customizing reports - Creating Excel and eText templates - Using Layout Editor - Using RTF Template Builder |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Creating and designing dashboards - Enhancing dashboards and briefing books |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Scheduling reports - Bursting and delivery - Managing report data sources - Publisher administration - Report translations |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing filters - Using prompts and variables - Formatting data - Managing selection steps |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Performance and caching - Administration |
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65. Frage
An administrator needs to ensure that only members of the Finance department can modify a shared dashboard while all other users have read-only access. Which Oracle Analytics Cloud feature should be configured?
Antwort: D
Begründung:
Catalog Object Permissions provide the required authorization control for shared Oracle Analytics content.
Dashboards, analyses, folders, and related catalog objects can be assigned permissions that determine which users or application roles can read, modify, delete, or otherwise manage them. For this scenario, the administrator can grant the Finance application role appropriate modification privileges while granting other authorized consumers read-only access.
Oracle recommends assigning access through roles rather than individual users wherever possible. This simplifies administration because users inherit the catalog permissions associated with their application-role membership. Shared-folder permissions can also be used so that contained objects inherit a consistent security configuration.
A Dashboard Prompt controls filtering and runtime input, not modification rights. Data Gateway provides connectivity to remote or on-premises sources. Query Cache improves analytical query performance but has no role in dashboard authorization.
The uploaded source identifies Catalog Object Permissions for this scenario, and Oracle documentation confirms that shared analytics content can be secured using permissions assigned to users and roles.
Reference Topic: Managing Administration, Security, and Performance - Catalog Security and Object Permissions
66. Frage
An author is creating analysis criteria from a subject area and also needs to change the order of the selected columns. How should the author perform these tasks?
Antwort: A
Begründung:
Analysis criteria are built in the Criteria tab by selecting columns from folders within the chosen subject area. As columns are added, Oracle places them in the Selected Columns pane. The author can then control their sequence directly by dragging selected columns to the desired position.
Column order is significant because it can affect the initial order in which fields appear in certain result views and determines the organizational sequence of criteria. Reordering does not require changing the semantic model or rebuilding the analysis.
Clear Sort removes sorting specifications, such as ascending or descending sort behavior; it doesn't rearrange the position of selected columns. The Results tab is used to inspect and design visual output after criteria have been established. Catalog permissions control object security and aren't involved in analytical column ordering. Column Properties controls formatting, headings, interaction, data format, conditional formatting, and related characteristics but isn't the standard mechanism for rearranging criteria.
Accordingly, the correct workflow is to select the required columns from the subject area and drag them within Selected Columns to establish the desired order . The uploaded Oracle Analytics question source identifies the same workflow.
Reference Topic: Managing and Creating Analyses, Views, and Content - Criteria Tab and Selected Columns
67. Frage
A report needs to group Revenue values by item type and Per-Year-Month into four dynamic buckets and may need to return the bin names. Which function should the author use?
Antwort: A
Begründung:
The BIN function is specifically designed to classify a numeric expression into a defined number of equal- width buckets. Oracle documents syntax in which a numeric expression is evaluated at a specified grain using the BY clause, followed by INTO n BINS. The function can return the bin number or one of the interval boundary values , making it appropriate when the analysis needs both dynamic bucketing and a usable representation of each bucket.
In this scenario, Revenue is the numeric measure, while item type and Per-Year-Month establish the required analytical grain. Specifying four bins therefore partitions Revenue values into four dynamically calculated ranges at that grain.
MSUM calculates a moving sum across rows; it doesn't classify values into buckets. PERIODROLLING performs time-series aggregation over a specified period. RANK returns relative ordering, while TOPN identifies the highest-ranked members. None of these functions creates equal-width numeric bins.
Therefore, BIN applied to Revenue at the required grain and configured for four bins directly satisfies the requirement. Oracle's function reference explicitly defines BIN for this purpose.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Analysis Functions and BIN
68. Frage
An administrator wants to minimize the impact of frequently executed analytical queries on the underlying database while maintaining acceptable response times. Which combination provides the best solution?
Antwort: A
Begründung:
The most effective combination is query caching plus an optimized semantic model . Oracle Analytics query caching stores previously generated query results so that compatible subsequent requests can be satisfied without repeatedly executing equivalent SQL against the underlying database. This reduces database workload, network traffic, and analytical response time for frequently repeated requests.
Caching alone, however, is not a substitute for sound semantic-model design. Proper logical relationships, aggregation behavior, source mappings, calculations, and physical connection configurations influence the efficiency of generated queries. Optimizing the model therefore addresses the cost of queries that do reach the source, while caching prevents unnecessary repetition of previously resolved requests.
Oracle also emphasizes that administrators need an appropriate cache-management strategy. Cache entries must be invalidated when source data or semantic-model definitions change so that users don't receive stale results.
Disabling caching increases database load. Duplicate subject areas add administrative complexity without inherently improving performance. Running every analysis every minute can substantially increase processing rather than reduce it.
Therefore, C provides the correct performance architecture: optimize query generation and use caching to avoid unnecessary source executions.
Reference Topic: Managing Administration, Security, and Performance - Query Cache and Semantic Model Performance
69. Frage
An administrator wants to ensure that only authenticated users with appropriate privileges can view sensitive BI Publisher reports embedded within Oracle Analytics Cloud dashboards. Which security model should be implemented?
Antwort: B
Begründung:
Embedded Publisher reports remain protected by Oracle Analytics and Publisher authorization controls.
Authentication establishes who the user is, but access to the underlying Publisher content must additionally be governed through application roles, functional privileges, and Catalog permissions .
Oracle Analytics allows administrators to assign users and groups to application roles and then grant those roles access to Catalog objects. Publisher also defines functional permissions such as running reports, developing reports, scheduling reports, and accessing output. Oracle's administration guidance makes an important distinction: possession of a functional role does not by itself grant access to specific Catalog objects; the appropriate Catalog permissions must also be assigned.
This is particularly important for reports embedded in dashboards. Securing only the dashboard page isn't sufficient protection for the underlying sensitive Publisher object. Database authentication alone likewise does not implement the complete analytics-content authorization model. Disabling cache doesn't establish access control.
Therefore, the appropriate solution is role-based access combined with Publisher Catalog security , ensuring that only authenticated and authorized users can access the sensitive embedded reports.
Reference Topic: Managing and Securing Oracle Analytics Publisher - Application Roles, Functional Privileges, and Catalog Security
70. Frage
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