1Z0-931-24 無料問題集「Oracle Autonomous Database Cloud 2024 Professional」

（A）Shut down the instance, click Scale Up/Down and select the Auto Scaling checkbox, then restart the instance

（B）Use a REST call to shut down the instance, then a second REST call to enable Auto Scaling, and a REST all to restart the instance

（C）Click Scale Up/Down and select the Auto Scaling checkbox

（D）Use a REST call to enable Auto Scaling

（A）The SQL statement is executing.

（B）The SQL statement is queued.

（C）The SQL statement did not complete either due to an error.

（D）The SQL statement completed its execution.

（A）Storage in TB cannot be larger than the number of OCPUs.

（B）Increasing OCPUs will automatically increase storage.

（C）OCPUs and storage can be scaled independently.

（D）OCPUs and storage must remain in sync.

（A）Oracle JSON Developer tool downloaded from OTN

（B）NOSQL statements using Oracle SODA drivers

（C）Regular Oracle SQL statements using a connection through the listener

（D）Oracle Cloud Infrastructure console using the JSON Online Developer tool

（E）REST API calls to the database (not enabled by default)

（A）Start, Delete, Update, Query, Stop

（B）Create, Get, List, Stop, Restore

（C）Create, Query, Update, List, Start

（D）Create, Query, List, Stop, Restore

（A）configuring virtual cloud networks (VCNS)

（B）creating and scaling an Autonomous Database service

（C）using a wizard to download connection wallet for connection from desktop tools

（D）monitoring Autonomous Databases for usage and query performance

（E）starting and stopping an instance

（A）It supports NoSQL-style, document-centric application

（B）JSON data is stored natively in the database

（C）There is a 20 GB limit on JSON collection

（D）You can promote Autonomous JSON Database to Autonomous Transaction /Processing

（A）3-D modelling

（B）Clustering

（C）Facial recognition

（D）Pattern matching

（E）Churn analysis

（A）Moving the compartment of the Autonomous Database will also move the Autonomous Container Database and Autonomous Exadata Infrastructure.

（B）Moving an Autonomous Database instance does not include its automatic backups.

（C）Autonomous Exadata Infrastructure instances and Autonomous Container Databases have no dependent resources that move with them. Associated (non-dependent) resources remain in their current compartments.

（D）You do not need to have sufficient access permissions on the compartment that the resource is being moved to.

（A）Data can be loaded from a remote database using Database Links (DBLinks)

（B）Data formats supported include: text, csv, json, avro and parquet

（C）You must first manually create your database credentials using dms_cloud.create_credentia before accessing your Oracle Object Storage Bucket

（D）Data can be loaded from a local data source

（E）Data can be uploaded from several cloud storage sources including 53, Azure, Google Cloud and Oracle Object Storage

（A）ACLs can only be used with private endpoints.

（B）An ACL can be set up for an IP address or a virtual cloud network (VCN) but not both at the same time.

（C）When you restore a database, the existing ACLs are not overwritten by the restore.

（D）An ACL can only be set during the creation of an Autonomous Database on Shared Infrastructure.

（A）Amount of storage

（B）I/O resources

（C）Parallelism settings

（D）Level of concurrency

（E）Number of OCPUS displayed in the console

（A）TP

（B）LOW

（C）MEDIUM

（D）TPURGENT

（A）Golden Gate on premise is not certified with ADB because Golden Gate Cloud Service exists for this.

（B）The described scenario is correct, can be used for migration and fallback scenarios.

（C）Migration to ADB is not possible using Golden Gate because the apply-process cannot be installed on ADB.

（D）Only the migration to ADB is possible from an on-premise installation of Golden Gate.

（E）The fallback scenario is not possible using Golden Gate because the capture-process cannot be installed on ADB.

（A）You can call PL/SQL procedures and functions by using a database link

（B）You can connect to a remote database from an Autonomous Database by using a database line

（C）You can create a database link from one Autonomous Database to another Autonomous Database instance

（D）You can connect to an Autonomous Database from a remote database using a database link

（A）Users have SYS privileges in the database.

（B）Users can customize the maintenance schedule.

（C）Users can customize the OS stack and add additional packages

（D）Users have OS access to the database machine.

（E）It offers greater control and isolation starting at the Exadata cloud infrastructure level.

（A）The database administrator provisions the Autonomous Container DB and the Autonomous DB Then, the feet administrator provisions the Autonomous Exadata Infrastructure

（B）The database administrator provisions the Autonomous Exadata Infrastructure. Then, the fleet administrator provisions the Autonomous Container DB and then the Autonomous DB

（C）The fleet administrator provisions the Autonomous Exadata Infrastructure and then the Autonomous Container D Then, the database administrator provisions the Autonomous DB

（D）The fleet administrator provisions the Autonomous Exadata Infrastructure. Then, the database administrator provisions the Autonomous Container DB and then the Autonomous DB

（A）Database concurrency is scaled up when needed by the workload.

（B）Increases the number of sessions available to the database.

（C）Enables the database to use up to 3x CPU/IO resources immediately when needed by the workload.

（D）Scales the PGA and SGA size when needed for the workload.

（A）Execute alter user MTHEO quota unlimited on tablespace DATA;

（B）Execute alter database for user MTHEO tablespace DATA quota = 10G;

（C）Execute DBMS_CLOUD_ADMIN. GRANT_TABLESPACE_QOOTA (username => 'MTHEO' , tablespace__quota => "UNLIMITED*);

（D）Execute alter tablespace DATA set quota = 10G;

（A）optimized data archive using partitioned external tables

（B）scan avoidance using columnar pruning for columnar stores like parquet and orc

（C）scan avoidance using columnar pruning for .csv files

（D）scan avoidance using block skipping when reading parquet and ore files

（E）scan avoidance using partitioned external tables

（F）optimized data archive using hybrid partitioned tables