Free Oracle 1Z0-936 Exam Practice Questions & Explanations
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An architect proposes loading data from multiple source systems into an Oracle Autonomous Data Warehouse, modeling it in a star schema, and then reporting on it from Oracle Analytics Cloud. A colleague objects, saying a data warehouse must always be normalized to third normal form in order to be queried efficiently by OAC.
Is the colleague's statement correct?
False. Data warehouses are commonly designed as dimensional (star or snowflake) schemas that are deliberately denormalized to optimize query and aggregation performance for analytics. OAC works very well with star schemas, and the semantic model can also map normalized (3NF) sources into a dimensional business model. There is no requirement that a warehouse be in third normal form.
A developer is building an OAC semantic model. She has imported tables from an Autonomous Data Warehouse, and now needs to create logical dimension and fact tables, define logical joins, and set aggregation rules for measures.
In which layer of the semantic model does this work take place?
The Business Model and Mapping (logical) layer is where dimensional logical models are built: logical tables, logical joins, logical columns, aggregation rules and dimension hierarchies. The Physical layer holds imported objects, physical joins and connection pools. The Presentation layer exposes subject areas to end users. There is no separate "connection pool layer" - connection pools belong to the Physical layer.
A project team is sizing an Oracle Analytics Cloud environment for a pilot with about 20 concurrent users, with plans to grow substantially later. They want to understand what a compute shape determines.
Which statement best describes a compute shape in Oracle Analytics Cloud?
A compute shape specifies the compute resources - OCPUs and the memory that comes with them - allocated to the service, and OAC allows scaling the shape up or down after provisioning. The edition (Standard/Professional/Enterprise) controls features, not the shape. Networking configuration and user counts are separate concerns and are not determined by the shape.
An administrator is about to provision an Oracle Analytics Cloud instance in a tenancy for the first time. Before the service can be created successfully, certain items must already exist or be configured.
Which two are prerequisites for creating an OAC instance?
Provisioning OAC requires storage (an object storage bucket/container) for the instance and a supported database in which the required service schemas are created. An on-premises OBIEE installation, a separate Essbase instance and Exadata are not prerequisites - Essbase is delivered as part of the appropriate OAC edition, and any supported database (including Autonomous Data Warehouse) can be used.
A retail company wants to move an existing on-premises Oracle BI repository (RPD) to Oracle Analytics Cloud. They also want business users to be able to build data flows and self-service visualizations, but they do NOT need Essbase or predictive/what-if modeling capabilities.
Which Oracle Analytics Cloud edition should they choose?
Professional Edition supports both self-service data visualization/data flows and enterprise modeling, which includes uploading and using an RPD-based semantic model. Standard Edition provides only Data Visualization and self-service data preparation with no RPD/enterprise reporting. Enterprise Edition adds capabilities beyond what is needed here (such as Essbase/advanced enterprise features), making it more than required. Data Lake Edition is oriented toward big data/data lake connectivity and advanced data preparation, again beyond the stated requirement.