1Z0-931-20 試験問題を無料オンラインアクセス

Which two choices are true for Autonomous Data Warehouse (ADW)? (Choose two.)

• A.Billing for compute stops when ADW is stopped
• B.Billing for storage continues when ADW is stopped
• C.Billing stops for both CPU usage and storage usage when ADW is stopped
• D.Billing stops only when the ADW is terminated

What is the predefined role that exists in Autonomous Database that includes common privileges that are used by a Data Warehouse developer?

• A.ADMIN
• B.ADWC
• C.DWROLE
• D.ADBDEV

Migrating an on-premise database to Autonomous Database (ADB) for large amounts of data involves multiple steps like creating a credential object, creating (access to) a storage object/location, running datapump export and running a datapump import.
Which three statements are true for SQL Developer (18.3 and up) in combination with ADB Data Loading?
(Choose three.)

• A.SQL Developer can import files (.dmp and .csv for example) into ADB which are located on Amazon S3 Object storage.
• B.SQL Developer can be used to export/move/import of a database to ADB in 1 set of wizard steps.
• C.SQL Developer can import .csv files into ADB which are located on the system where SQL Developer is running.
• D.SQL Developer can only export/move/import files using datapump from databases running on Linux systems.

Which of these database features is NOT part of the Autonomous Database?

• A.Flashback Database
• B.Java in the Database
• C.Real Application Clusters (RAC)
• D.Online Indexing

While Autonomous Transaction Processing and Autonomous Data Warehouse use the same Oracle database, which statement is true about the workloads?

• A.Data that is bulk loaded, by default, uses the row format in Autonomous Transaction Processing where Autonomous Data Warehouse data format is columnar.
• B.Autonomous Transaction Processing workloads are optimized for data warehouse, data mart, and data lake.
• C.Autonomous Data Warehouse workloads are optimized for mixed workloads.
• D.Autonomous Transaction Processing memory usage optimizes workloads for parallel joins and aggregations.