Oracle 1Z0-1093-25 Exam Dumps

MySQL Slow Query Log:

The MySQL Slow Query Log records queries that exceed a specified execution time threshold. It is essential for identifying long-running queries that may be causing performance bottlenecks.

OCI Logging Analytics:

By integrating the slow query log with OCI Logging Analytics, users can visualize query performance patterns, generate alerts, and identify the root cause of slow performance. This combination is powerful for detecting and addressing query-specific issues.

Why the other options are incorrect:

A: OCI Vault is used for managing encryption keys, not query performance.

B: OCI Events track general occurrences, not detailed query performance.

D: Network latency analysis is useful but not directly related to query analysis.

E: OCI Bastion provides secure access, not performance analytics.

Oracle HeatWave Monitoring Documentation

Scaling Out:

Scaling out in Exadata means increasing the number of database server VMs and storage servers to handle a larger workload. This is achieved by adding more compute nodes and storage cells, allowing the system to distribute database processing across multiple nodes.

This horizontal scalability is ideal for environments with fluctuating workloads or growing data volumes. It improves query performance and fault tolerance since data and workload are distributed across more hardware resources.

Why the other options are incorrect:

A: Increasing CPU cores within a single VM is considered scaling up.

C: Upgrading the database software version is unrelated to scaling.

D: Increasing RAM is also a form of scaling up, not scaling out.

Oracle Exadata Database Service Scalability

C . CSV, Parquet, and Avro files:

HeatWave Lakehouse can directly query data stored in OCI Object Storage without loading it into MySQL.

Supports widely-used data formats:

CSV (Comma Separated Values): Simple, text-based data format.

Parquet: Columnar storage format optimized for analytical queries.

Avro: Row-oriented format used for data serialization.

This versatility allows integrating data from various sources and querying directly.

Why the other options are incorrect:

A . Only CSV files: HeatWave supports more than just CSV.

B . Only Parquet files: HeatWave also supports CSV and Avro.

D . Only JSON files: JSON is not directly supported by HeatWave Lakehouse.

E . Only XML files: XML is not directly supported.

Oracle MySQL HeatWave Documentation: HeatWave Lakehouse Data Formats

B . Managing the Oracle Grid Infrastructure software stack:

Customers are responsible for the installation, configuration, and maintenance of the Oracle Grid Infrastructure when using BaseDB VMs.

This includes managing Oracle Clusterware and Automatic Storage Management (ASM) if applicable.

Ensuring the Grid Infrastructure's availability and performance is part of customer-managed tasks.

Why the other options are incorrect:

A . Hardware fault tolerance: Managed by Oracle Cloud Infrastructure.

C . Hypervisor maintenance: Handled by Oracle as part of the OCI infrastructure.

D . Security patching: While OCI provides tools, the responsibility for OS patching lies with the customer.

Oracle BaseDB VM Documentation: Responsibilities and Maintenance

C . MySQL Shell Upgrade Checker Utility:

The utility analyzes MySQL instances for compatibility with newer versions, such as MySQL 8.0 used by HeatWave.

It checks for:

Syntax differences

Data type mismatches

Deprecated features

The tool outputs a report highlighting issues that may impact migration to HeatWave.

Why the other options are incorrect:

A . MySQL Enterprise Monitor: Focuses on monitoring performance, not compatibility.

B . Oracle SQL Developer: Primarily used for database development, not upgrade checks.

D . Oracle Cloud Advisor: Provides cloud optimization recommendations, not MySQL compatibility checks.

E . MySQL Workbench: A visual tool for database design and administration, not specifically for upgrade assessment.

MySQL Shell Documentation: Upgrade Checker Utility