Pass the Oracle Database Cloud Service 1z0-1093-25 Questions and answers with CertsForce

D. The database version:

Thedatabase versionis not configurable through the Database Management Service.

The version is determined during the database instance provisioning and is independent of the management service.

The management service can monitor and manage databases of various versions, but it does not control or alter the version itself.

Why the other options are configurable:

A. Frequency of metric collection:Can be adjusted to balance performance and data granularity.

B. Specific metrics collected:Can be customized based on monitoring requirements.

C. Storage space for metrics:Some configurations allow defining the retention and storage capacity for collected data.

C. Partitioning and replication of data across multiple nodes:

NoSQL databases typically prioritizehorizontal scalabilityby distributing data across multiple nodes.

Replicationensures data availability even if one node fails.

This approach leads toeventual consistencyrather than strict ACID compliance.

The system can continue to operate despite some nodes being offline, maintaining high availability.

Why the other options are incorrect:

A. Complex joins and transactions:Typical of relational databases prioritizing consistency.

B. Strict referential integrity:More common in SQL databases requiring ACID transactions.

D. Centralized architecture:Opposite of scalable, distributed NoSQL models.

B. Network Security Groups (NSGs) for traffic control:

NSGs allow customers to defineingress and egress rulesto control network traffic.

Enhances security by restricting access to only authorized IP ranges and protocols.

Applied at theVM Clusterlevel to manage connectivity efficiently.

E. Responsibility for OS and database security:

While Oracle manages the infrastructure layer, customers are responsible for securing theoperating system and databasewithin the VM Clusters.

This includes applying security patches, configuring firewalls, and implementing user access controls.

Why the other options are incorrect:

A. Host-based firewalls on Exadata Infrastructure:Oracle, not the customer, configures the infrastructure-level security.

C. Oracle managing all security:Incorrect, as customers manage VM-level security.

D. Access to hypervisor:Customers do not have hypervisor-level access for security configuration.

C. Accessing data using the unique key:

Oracle NoSQL Database Cloud Service follows akey-value data model.

Data is accessed directly using aunique key, which is highly efficient for lookups.

The value associated with the key can be simple or complex (e.g., JSON objects).

Provides fast read and write operations.

Why the other options are incorrect:

A. SQL with joins:Typical of relational databases, not NoSQL.

B. Graph traversal:Relevant to graph databases, not key-value stores.

D. Full-text indexing:Not the primary access method in key-value databases.

E. Predefined schema:NoSQL databases generally supportschema-lessdata storage.

B:Database Management directly queries the database to gather performance data, such as SQL performance and active session history. It also integrates with OCI Monitoring for infrastructure-level metrics like CPU, memory, and storage utilization.

C:Database Management can function independently of OCI Monitoring since it has its own data collection mechanisms.

Why the other options are incorrect:

A:Database Management does not rely solely on OCI Monitoring.

D:It does not require custom metrics from the user.

Block Change Tracking (BCT):

Enabling BCT withRMANsignificantly speeds upincremental backupsby recording changes made to data blocks since the last backup. Instead of scanning the entire database to detect changes, RMAN consults theblock change tracking fileto identify modified blocks, reducing backup time and I/O.

BCT is especially beneficial in large databases where full backups would be time-consuming and resource-intensive. Incremental backups become more efficient, makingdaily or more frequent backups feasible.

Why the other options are incorrect:

A:Full backups are still required periodically.

C:Encryption is separate from BCT functionality.

D:Point-in-time recovery is facilitated by backup logs, not BCT directly.

E:Integrity checks are performed during validation, not as part of BCT.

HeatWave's Processing Model:

HeatWave usescolumnar in-memory processingto optimize analytical workloads. Storing data in columns rather than rows allows HeatWave toprocess large datasets efficiently, reducing the volume of data scanned and improving query performance. This is crucial for OLAP operations that involveaggregating and analyzing data.

Why the other options are incorrect:

A:Row-based processing is typical for OLTP workloads, not analytical.

B:HeatWave operates primarily in memory, not disk.

D:Indexing enhances performance but is not the primary processing paradigm.

E:Key-value processing is typical in NoSQL databases, not analytical systems.

A. dcli -g cell_group "list cell attributes name, status" combined with dcli -g dbnodes "srvctl status database -d dbname"

dcli Utility:

dcli(Distributed Command Line Interface) allows you to run commands on multiple nodes simultaneously.

cell_group: A group configuration file listing all storage cells.

dbnodes: A group configuration file listing all database nodes.

Commands Explanation:

dcli -g cell_group "list cell attributes name, status":

Retrieves the name and current status of each storage cell.

dcli -g dbnodes "srvctl status database -d dbname":

Checks the status of the database instances on the compute nodes.

Combining these commands provides a complete picture of both storage and compute components.

Why the other options are incorrect:

B. Including metriccurrent:Produces excessive output, not suitable for a quick health check.

C. Listing dbnodes only:Insufficient as it lacks storage cell status.

D. dcli -g all "list status":Invalid syntax and lacks specificity.

HeatWave as a Query Accelerator:

HeatWave enhances theMySQL Database Serviceby providing anin-memory, massively parallel query accelerator. It is specifically designed to speed upanalytical (OLAP) queries, making them run significantly faster compared to using MySQL alone.

The system stores data in acolumnar formatand processes it in memory, utilizingdistributed, parallel processingto achieve high performance.

Unlike traditional MySQL setups, HeatWave canexecute complex analytical workloadsefficiently.

Why the other options are incorrect:

A:HeatWave is not a standalone database but an extension of MySQL.

C:It is optimized foranalytical workloads, not transactional.

D:It is more than just a caching layer; it actively processes queries.

E:HeatWave clusters do not split MySQL instances but enhance query processing.