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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 2: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Scheduling reports - Bursting and delivery - Publisher administration - Report translations |
| Topic 3: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Topic 4: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Topic 5: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing filters - Formatting data - Using prompts and variables - Managing selection steps |
| Topic 6: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using RTF Template Builder - Using Layout Editor - Formatting and customizing reports - Creating Excel and eText templates |
| Topic 7: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Managing analytics content - Creating and managing analyses |
| Topic 8: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Security and application roles - Performance and caching |
| Topic 9: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Enhancing dashboards and briefing books - Dashboard prompts and pages |
| Topic 10: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
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NEW QUESTION # 54
An administrator is configuring a delivery agent. The agent should deliver content to selected devices instead of using the user's active delivery profile, and the scheduled analysis run should seed the cache. Which two destination settings match these requirements?
Answer: C,E
Explanation:
For device delivery, Oracle Analytics distinguishes between Active Delivery Profile and Specific Devices .
Active Delivery Profile lets each user determine delivery behavior through personal delivery preferences.
When the Agent must instead target explicitly chosen device types, the author selects Specific Devices and identifies the permitted devices. This satisfies the requirement to avoid reliance on the user's active profile.
For cache seeding, Oracle documents a dedicated Agent workflow. After choosing the analysis or dashboard page and establishing recipients, the administrator clears ordinary user destinations and selects the Analytics Server/BI Server Cache destination. Scheduled execution then populates the query cache using the results generated by the Agent.
The terminology in the question uses Oracle BI Server Cache , while current Oracle Analytics Server documentation refers to Oracle Analytics Server Cache ; functionally, this is the same cache-seeding destination represented by option E.
Selecting Never wouldn't schedule cache seeding. Home Page and Dashboard creates analytics alerts rather than restricting delivery to email devices. Active Delivery Profile does the opposite of the requirement, and Printer isn't the standard cache-seeding destination.
Therefore, the correct selections are Specific Devices and Oracle BI Server Cache .
Reference Topic: Managing Administration, Security, and Performance - Agent Destinations and Cache Seeding
NEW QUESTION # 55
A scheduled report job uses a schedule trigger. The SQL query in the trigger returns no data when the job is scheduled to run. What is the result?
Answer: D
Explanation:
The scheduled job instance is skipped . Oracle Analytics Publisher defines a Schedule Trigger as a SQL query that is executed when the scheduled report job is triggered, before the report itself runs. The returned result determines whether the execution condition has been satisfied.
Oracle states explicitly that if the trigger SQL returns data , the associated report job executes. If the SQL query returns no data , the job instance is skipped. This mechanism allows report execution to depend on a business or technical condition. For example, a report could execute only after an ETL process has completed, only when transactions exceed a specified amount, or only when new records have appeared.
The trigger doesn't convert the job into a bursting job, nor does Publisher execute an empty report merely with a warning. The scheduled job definition also isn't deleted; only that execution instance is skipped. For recurring schedules, subsequent trigger evaluations can still occur according to the configured recurrence and retry behavior.
Therefore, a no-row result from the Schedule Trigger means its condition evaluated as not satisfied and the current job instance is skipped .
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Schedule Triggers
NEW QUESTION # 56
Which two statements about dashboard prompts are correct?
Answer: A,E
Explanation:
A and B are the intended answers. Oracle Analytics supports constrained or cascading prompts , where a value selected in one prompt restricts the values presented by another. A classic example is selecting a Region first and having a subsequent City prompt display only cities within that region. This improves usability and prevents invalid combinations of prompt values.
Oracle also allows prompt default selections to be derived from server-side variables. These include session variables , which can contain user-specific information initialized when a user signs in, and semantic-model
/repository variables, which provide centrally maintained values. Such variables can therefore initialize prompts dynamically rather than requiring hard-coded default selections.
Statements C and D impose restrictions that Oracle Analytics does not require. F directly contradicts Oracle variable support.
There is an important technical issue with this question: Oracle Analytics also supports different prompt forms, including column and variable prompts, so E can be interpreted as generally valid . Consequently, E is a weak distractor and makes the item somewhat ambiguous when interpreted literally. For the supplied two- answer examination key and the specific concepts being tested-constrained prompts and variable-based defaults- A and B are the intended selections .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Dashboard Prompts and Variables
NEW QUESTION # 57
Which service do you need to subscribe to for creating an Oracle Analytics Cloud (OAC) instance?
Answer: C
Explanation:
Oracle Analytics Cloud is the service represented by the required answer. Oracle provides OAC as an OCI analytics service, and an Oracle Analytics Cloud instance is created as an Analytics service instance through the Oracle Cloud Infrastructure Console, REST API, or command-line interfaces.
Oracle documentation for subscription-based environments specifically describes creating a service using an Oracle Analytics Cloud Subscription , after which the administrator selects Oracle Analytics Cloud Subscription and creates an instance. In current OCI environments, provisioning is governed through OCI tenancy, IAM policies, service entitlements, and the analytics-instance resource, but none of the other answer choices represents the analytics service being provisioned.
Oracle Autonomous Database can serve as an analytical data source but doesn't replace an OAC service instance. Object Storage can provide datasets, migration storage, or Publisher delivery destinations but isn't the required analytics service. Oracle Integration Cloud provides application and process integration rather than OAC analytical capabilities.
Consequently, among the listed choices, an Oracle Analytics Cloud service/subscription is required to provision the OAC instance.
Reference Topic: Understanding Oracle Analytics Cloud - Provisioning an Oracle Analytics Cloud Service
NEW QUESTION # 58
Which statement best describes a Repository Variable in Oracle Analytics Cloud?
Answer: A
Explanation:
A Semantic Model (Repository) Variable stores a centrally defined value that can be referenced by analyses, dashboards, filters, expressions, and other semantic-model logic. Oracle defines repository variables as values maintained within the semantic model rather than supplied interactively by individual report consumers.
Repository variables can be static or dynamic . A static repository variable retains its configured value until an administrator changes it. A dynamic repository variable is refreshed from data returned by an initialization query. Typical shared values include organizational constants, current reporting periods, or other centrally managed values that should be applied consistently.
Option A instead describes a Presentation Variable, which can be populated by a user's prompt selection.
Option B more closely describes a Session Variable, whose value is specific to a user's session and is commonly initialized when the user logs in. Option D doesn't describe repository-variable scope because a repository variable can persist across many analysis executions.
Oracle's current documentation calls these Semantic Model (Repository) Variables , preserving the repository terminology used in Classic Analytics. Therefore, the most accurate description is a centrally managed value reusable across analytical content .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Repository Variables
NEW QUESTION # 59
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