1z0-1093-25 Exam Dumps - Oracle Cloud Infrastructure Questions and Answers

B. Querying data directly from object storage without data loading:

HeatWave Lakehouse extends MySQL HeatWave by allowing direct query execution on data stored in external object storage.

Supports formats such asCSV,Parquet, andAvro.

Eliminates the need for data import, making the process faster and more efficient for large datasets.

Enhances HeatWave's capability to act as aLakehouseby unifying data warehousing and data lake functionalities.

Why the other options are incorrect:

A. GUI for database management:Not related to analytical extension.

C. Disaster recovery replication:Not related to Lakehouse functionality.

D. Built-in ETL tool:Lakehouse focuses on query capability, not ETL.

E. Separate data warehouse:HeatWave Lakehouse queries data in-place, not creating a separate warehouse.

OCI Patching Process:

The Oracle Cloud Infrastructure console simplifies the patching process by integrating bothdatabase software and OS patching. Therolling update strategyensures that one node at a time is patched, reducing the downtime associated with updating the entire cluster. The storage nodes are updated in a separate process to ensure data integrity and availability.

Why the other options are incorrect:

A:The OCI console updates both the OS and database software.

B:Updates are performed in a rolling fashion, not concurrently.

D:The OCI console handles OS patching for both compute and storage nodes.

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. Block Volumes provide the primary storage and are directly attached to the VM.

Block Volumes:

These are persistent, durable block storage volumes that are attached to the VM instance.

Used to store database datafiles, redo logs, and other database-related files.

Standard and most common way to provision storage for BaseDB VMs.

Why the other options are incorrect:

B. Object Storage as the default for database datafiles:Object Storage is used for backups and unstructured data, not the primary database files.

C. Local NVMe as the default:Local NVMe provides high performance but is not always the default. Block Volumes are standard.

D. File Storage is mandatory for backups:Not mandatory. Block Volumes or Object Storage can also be used.

C. Underlying database architecture and scalability characteristics:

Thearchitecture and scalabilityof Oracle NoSQL Database Cloud Service are inherent to the platform and do not change based on the SDK.

SDKs are designed to providelanguage-specific interfacesfor data interaction but do not alter the core architecture.

Whether using Java, Python, or another SDK, the database'ssharding, replication, and consistencycharacteristics remain constant.

Why the other options are impacted:

A. Query syntax:SDKs may offer different syntax or query formats.

B. Authentication method:Varies between SDKs, e.g., API keys vs. IAM tokens.

D. Error handling:Each SDK may implement error handling differently, influencing how exceptions are processed.

Exadata Smart Scan:

This technology is a core feature of Exadata storage servers. It allows the storage servers to perform data filtering, projection, and other processing tasks directly within the storage tier before sending the results to the database compute nodes. This significantly reduces the amount of data transferred over the network, leading to improved query performance.

Why the other options are incorrect:

A. Oracle Data Guard:Used for disaster recovery and high availability, not for in-storage processing.

C. Oracle Active Data Guard:Allows read-only access to a standby database, but doesn’t provide in-storage processing.

D. Exadata Smart Flash Cache:Used for caching frequently accessed data in flash memory to improve I/O performance. While it enhances performance, it does not provide intelligent data offloading and processing within the storage tier.

Full Backup with bkup_api:

The --full flag in thebkup_api commandensures that the backup includesall datafiles and control files. This command is essential for creating acomplete, consistent backupsuitable for recovery purposes.

The backup is stored inOCI Object Storage, leveraging cloud scalability and redundancy.

The --dbname parameter specifies which database to back up.

Why the other options are incorrect:

A:This command may initiate a default backup, not a full one.

B:Specifying files individually is less efficient than using --full.

D:The --all option does not necessarily imply a full backup.

B. Recommendations for parameter tuning:

Database Management analyzes historical performance data and provides tuning recommendations.

These recommendations align with Oracle best practices to optimize database performance.

C. Comparison of parameter settings:

The service allows users to compare parameter configurations between different databases or across time points for a single database.

This is useful for identifying changes or discrepancies that could impact performance.

Why the other options are incorrect:

A. Automatic correction of parameters:Database Management does not automatically correct parameters; changes require manual intervention.

D. Lack of parameter management:Incorrect statement, as the service does offer parameter management features.

C. Each data item is uniquely identified by a key, and the associated value can be any data type or structure.

Key-Value Data Model:

The key-value model is fundamentally based on a simple association between a unique key and its corresponding value.

The value can be a simple data type (string, number) or a complex structure (like JSON).

Oracle NoSQL Database Cloud Service uses this model to ensure efficient, scalable data access.

Why the other options are incorrect:

A. Organized into tables with schemas:This represents a relational database model.

B. Stored as JSON documents:Although NoSQL can store JSON, the fundamental model is still key-value.

D. Relationships defined through foreign keys and joins:This is typical of relational databases.

E. Graph format with nodes and edges:Represents a graph database model, not key-value.

A. CPU utilization of the compute instances hosting the database:

Autoscaling in NoSQL Database Cloud Service primarily focuses onRCUs (Read Capacity Units)andWCUs (Write Capacity Units).

The objective is to dynamically adjust capacity based onquery workload, not onCPU utilization.

Even if CPU usage is high, it might not necessarily indicate that the capacity units are inadequate.

Why the other options are more relevant:

B. Rejected read requests (RCUs):Direct indicator that read capacity is insufficient, requiring scaling.

C. Rejected write requests (WCUs):Indicates that the write throughput is inadequate, necessitating scaling.

D. Latency of read and write operations:Increased latency often points to under-provisioned throughput.