Get 1z0-1093-23 Dumps : Verified Oracle Base Database Services 2023 Professional

v When you use the “Stop” option from the Console of an Exadata Database Service virtual machine within a VM cluster, the following two statements are true1:

• Billing for the CPU stops but billing for the Exadata Infrastructure continues. This is because the “Stop” option only stops the virtual machine (VM) and releases the OCPU resources allocated to it, but does not terminate the VM or delete the associated block volumes1. Therefore, you are not charged for the OCPU usage of the stopped VM, but you are still charged for the Exadata Infrastructure and the block volume storage1. You can resume the billing for the OCPU by restarting the VM from the Console1.
• The stopped VM is not available to any other database deployment. This is because the “Stop” option only stops the VM and does not delete it or detach it from the VM cluster1. Therefore, the stopped VM remains associated with the original database deployment and cannot be used by any other database deployment1. You can make the VM available again by restarting it from the Console1.

The other statements are false because1:

• The “Stop” option only stops the selected VM and does not affect the other VMs in the cluster. You can stop or start individual VMs in the cluster as needed, without impacting the availability of the other VMs1.
• The “Stop” option only stops the databases running on the selected VM and does not affect the databases running on the other VMs in the cluster. You can stop or start individual databases in the cluster as needed, without impacting the availability of the other databases1.
• The “Stop” option does not stop the billing for the OCPU and Infrastructure until the VM restarts. As explained above, the “Stop” option only stops the billing for the OCPU, but not for the Infrastructure or the block volume storage. The billing for the OCPU resumes when the VM restarts1. References:
• 4: Manage VM Clusters - Oracle Help Center

The detail that the shape selection provides to HeatWave is the number of CPUs for the Analytic cluster. This is because the shape determines the amount of CPU and memory resources allocated to each HeatWave node, which affects the performance and scalability of the HeatWave cluster1. The shape also determines the pricing of the HeatWave cluster, as the cost is based on the number of OCPUs used by the HeatWave nodes1. The shape does not provide any information about the associated database system network, the disk partition count, or the private IP address for the HeatWave cluster, as these are not related to the shape selection1. Therefore, the correct answer is D. References:

• 5: Overview of HeatWave - Oracle Help Center

The statement that is false related to loading a table into HeatWave is that data is distributed among analytics nodes by slicing tables vertically. This is false, because HeatWave distributes data among analytics nodes by slicing tables horizontally, not vertically1. Horizontal slicing means that each analytics node stores a subset of the table rows, while vertical slicing means that each analytics node stores a subset of the table columns1. Horizontal slicing enables parallel processing of queries across analytics nodes, while vertical slicing would require data shuffling and communication between analytics nodes1.

The statements that are true related to loading a table into HeatWave are:

• Data is read from InnoDB using batched, multi-threaded reads. This is true, because HeatWave loads data with batched, multi-threaded reads from InnoDB, which improves the performance and efficiency of the data loading process2.
• Data is partitioned by primary key unless data placement keys are defined. This is true, because HeatWave partitions data by the table primary key, which determines how the table rows are distributed among analytics nodes1. However, you can also define data placement keys for a table, which override the primary key and enable you to control the data distribution based on your query patterns.
• Data is converted into columnar format and sent over the network. This is true, because HeatWave converts the data into columnar format, which optimizes the data for analytical queries and reduces the storage footprint1. HeatWave then sends the data over the network to distribute it among analytics nodes in horizontal slices2.

References:

• MySQL :: MySQL HeatWave User Guide :: 2.1 HeatWave Architecture
• MySQL :: MySQL HeatWave User Guide :: 2.2 Loading Data
• [MySQL :: MySQL HeatWave User Guide :: 2.7.2 Defining Data Placement Keys]

The users created on Database Servers that can be used for both Oracle database and host management of your Exadata Database Service are the root, opc, oracle, and grid users1. These users have different roles and privileges as follows:

• root: The root user is the superuser on the Database Servers. The root user can perform any administrative task on the host, such as installing software, configuring the network, and managing the file system. The root user can also access the Oracle Database as the SYSDBA user1.
• opc: The opc user is the default user that you use to connect to the Database Servers using SSH. The opc user has sudo privileges to run commands as root or other users. The opc user can also access the Oracle Database as the SYSDBA user1.
• oracle: The oracle user is the owner of the Oracle Database software and the Oracle Database home directory. The oracle user can perform database administration tasks, such as creating and managing databases, tablespaces, and users. The oracle user can also access the Oracle Database as the SYSDBA user1.
• grid: The grid user is the owner of the Oracle Grid Infrastructure software and the Oracle Automatic Storage Management (ASM) home directory. The grid user can perform ASM administration tasks, such as creating and managing disk groups, volumes, and files. The grid user can also access the Oracle Database as the SYSASM user1.

The other options are incorrect because:

• B. root, opc, oracle, grid, and cloud users: The cloud user is not a valid user on the Database Servers. The cloud user is a user that you create in the Oracle Cloud Infrastructure Identity and Access Management (IAM) service to access the Oracle Cloud resources. The cloud user cannot access the Oracle Database or the host management of the Exadata Database Service2.
• C. opc, oracle, and grid users: This option is missing the root user, which is a valid user on the Database Servers that can access the Oracle Database and the host management of the Exadata Database Service1.
• D. root, oracle, and grid users: This option is missing the opc user, which is the default user on the Database Servers that can access the Oracle Database and the host management of the Exadata Database Service1.

References: 1: Users on Database Servers 2: Users and Roles in Oracle Cloud Infrastructure

When enabling Data Guard on Exadata Database Service, the following two statements are true:

• You should use similar configurations for your Primary and Standby databases to ensure you meet the same performance service level after a role transition. This is a best practice recommended by the Oracle Maximum Availability Architecture (MAA) to avoid any performance degradation or unexpected behavior when switching roles between the primary and standby databases1. Similar configurations include the same database version, edition, shape, storage, and network settings2.
• You can enable Data Guard to support your Standby or Disaster Recovery (DR) needs with a single API call or mouse click in the Ul using cloud automation. This is one of the benefits of using Data Guard on Exadata Database Service, as it simplifies the creation and management of the standby database. You can use the Oracle Cloud Infrastructure Console, the REST API, or the CLI to enable Data Guard when creating a new database or to add Data Guard to an existing database3.

C is incorrect, because Active Data Guard does not provide read/write functionality on the standby or disaster recovery system, but read-only functionality. Active Data Guard allows you to open the standby database for read-only access while it is synchronized with the primary database, enabling real-time query and reporting on the standby database4.

D is incorrect, because you do not have to configure Data Guard manually to create the standby or DR instance for your primary Exadata Database. As mentioned above, you can use cloud automation to enable Data Guard with a single API call or mouse click in the UI3.

E is incorrect, because you can edit your configuration to change between synchronous or asynchronous transport of data to the DR site, after enabling Data Guard. You can use the Oracle Cloud Infrastructure Console, the REST API, or the CLI to modify the Data Guard association and change the protection mode, which determines the data transport method5.

References: 1: Disaster Recovery Best Practices for Exadata Database Machine using Oracle Data Guard 2: About Configuring Oracle Data Guard for Oracle Exadata Database Service on Dedicated Infrastructure 3: Using Oracle Data Guard in Exadata Cloud Service 4: About Oracle Active Data Guard 5: Modifying a Data Guard Association