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Which aspect of NoSQL Database Cloud Service is LEAST impacted by the choice of SDK used in an application?
See the explanation below.
C . Underlying database architecture and scalability characteristics:
The architecture and scalability of Oracle NoSQL Database Cloud Service are inherent to the platform and do not change based on the SDK.
SDKs are designed to provide language-specific interfaces for data interaction but do not alter the core architecture.
Whether using Java, Python, or another SDK, the database's sharding, replication, and consistency characteristics 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.
Oracle NoSQL Database SDK Documentation: SDK Usage and Best Practices
You need to implement a backup and recovery strategy for your MySQL HeatWave Database System. What is the recommended method for backing up and restoring your HeatWave cluster?
See the explanation below.
C . Utilizing OCI Database backups:
Integrated with Oracle Cloud Infrastructure (OCI), providing consistent and complete backups.
Supports both the MySQL Database System and the HeatWave cluster, ensuring data integrity.
Automates backup scheduling and retention policies.
Facilitates easy restoration in case of data loss or corruption.
Why the other options are incorrect:
A . Manual copying: Prone to errors and lacks consistency.
B . Manual dumps to Object Storage: Labor-intensive and not automated.
D . MySQL replication: Suitable for high availability, but not a substitute for regular backups.
E . MySQL Enterprise Backup on nodes: Complex and not designed for HeatWave's distributed environment.
Oracle MySQL HeatWave Documentation: Backup and Recovery
Which data formats are directly supported by the HeatWave Lakehouse feature for querying data in object storage?
See the explanation below.
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
When cloning a BaseDB database for development and testing, which of the following considerations is MOST critical to ensure compliance with data privacy regulations?
See the explanation below.
B . Masking or anonymizing sensitive data:
Data privacy regulations (like GDPR, HIPAA) mandate that personally identifiable information (PII) is protected, even in non-production environments.
Cloning a database without masking sensitive data could expose confidential information to unauthorized users.
Techniques include:
Data masking: Replacing real data with realistic, but non-sensitive values.
Data anonymization: Irreversibly removing personally identifiable information.
Why the other options are incorrect:
A . Matching compute shape: Relevant to performance, not privacy.
C . Using the same database version: Important for compatibility, but not related to data privacy.
D . Same NSG rules: Important for network security, but does not directly address data exposure.
E . Off-peak scheduling: Minimizes disruption but does not address data protection.
Oracle Database Security Documentation: Data Masking Techniques
In comparing NoSQL databases with relational databases, what constitutes a fundamental difference in their approach to data relationships?
See the explanation below.
B . Relational vs. NoSQL data relationships:
Relational Databases: Use foreign keys to establish relationships between tables, maintaining referential integrity.
NoSQL Databases: Typically do not enforce relationships through foreign keys. Instead, they:
Embed related data within a single document (common in document stores like MongoDB).
Use application-level joins to link related data (common in key-value or column-family stores).
Graph databases (a type of NoSQL) use edges to explicitly represent relationships between nodes.
This difference highlights the flexibility vs. consistency trade-off between NoSQL and relational databases.
Why the other options are incorrect:
A . NoSQL databases lack relationships: Incorrect; they handle relationships differently.
C . NoSQL using foreign keys exclusively: NoSQL databases generally do not enforce such relationships.
D . Relational databases lack relationship mechanisms: Incorrect as relational databases are designed around relationships.
Oracle NoSQL Database Documentation: Data Modeling and Relationships
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