Oracle 1z0-1195-25 Oracle Data Platform 2025 Foundations Associate Exam Practice Test

For serverless Spark processing in Oracle’s Lakehouse architecture, "OCI Data Flow" (C) is the designated service. OCI Data Flow is a fully managed, serverless platform that enables users to run Apache Spark applications without managing infrastructure, making it ideal for big data processing tasks like ETL, machine learning, and analytics. "Oracle Analytics Cloud" (A) is an analytics and visualization tool, not a Spark processing engine. "OCI Object Storage" (B) provides scalable storage but lacks processing capabilities, and "OCI Data Catalog" (D) is for metadata management, not Spark job execution. Oracle’s OCI documentation confirms OCI Data Flow as the primary service for serverless Spark workloads in the Lakehouse.

A prerequisite for running "APEX" (Application Express) on an Autonomous Database is provisioning "an Autonomous Database with the workload type Data Warehouse, TransactionProcessing, JSON, or APEX" (B). APEX is supported across these workload types, with ORDS (Oracle REST Data Services) pre-enabled. Option A is incorrect, as ORDS is automatically configured. Option C is too restrictive, as APEX isn’t limited to the APEX workload type alone. Option D is unnecessary, as user creation follows provisioning, not precedes it. Oracle’s Autonomous Database documentation confirms APEX availability across these workload types with no manual ORDS setup required.

Oracle offers a "Dedicated cloud region" (D) as an industry-first feature to support multicloud strategies. This allows customers to run a fully managed OCI region within their own data center or a partner cloud, integrating with other providers like Azure or AWS. "Private and public cloud network" (A) is vague, "Cloud databases" (B) are common across vendors, and "Oracle FastConnect" (C) is a connectivity service, not unique to multicloud. Oracle’s documentation highlights the Dedicated Region as a pioneering multicloud solution.

For an "Autonomous Database," the DBA can "Open the database in OCI Console and increase the number of OCPU. No downtime required" (C). Autonomous Database supports dynamic scaling of OCPUs online, with no service interruption, leveraging its self-managing capabilities. Options A and B involve unnecessary downtime, and D adds an unneeded user restriction. Oracle’s documentation confirms zero-downtime OCPU scaling as a key feature.

For migrating "old database backups" to OCI, "Archive Storage" (D) is the most cost-effective service. Archive Storage offers the lowest cost per gigabyte for long-term, infrequently accessed data, ideal for backups that don’t require immediate retrieval. "Object Storage (standard)" (A) is more expensive and suited for frequent access, "Block Volume" (B) is high-performance and costly, and "File Storage" (C) is for active file systems. Oracle’s storage pricing and use case documentation recommend Archive Storage for cost-effective backup archival.

The "Oracle Autonomous Database" (B) offers the highest degree of security and governance with a self-service experience. It includes automated security features (e.g., TDE, network encryption), self-patching, and fine-grained access controls, all managed by Oracle, while allowing users to provision and manage databases independently. "Exadata Cloud Service" (A) provides high performance but requires more manual oversight. "Oracle Database Cloud Service" (C) offers flexibility but less automation, and "Oracle MySQL Database Service" (D) lacks the same level of autonomous security. Oracle’s documentation positions Autonomous Database as the pinnacle of secure, self-service deployment.

The "OCI Data Catalog" provides a "View of data for discovery" (D) when integrated with Autonomous Databases and OCI Object Storage in the Lakehouse solution. It serves as a metadata management service, offering a centralized view of data assets, their schemas, and relationships, enabling users to discover and understand data across the Lakehouse. "Analytic environments" (A) and "Data Warehouse" (B) refer to processing or storage constructs, not the role of Data Catalog. "Source of managed services" (C) is vague and not a documented function. Oracle’s documentation highlights Data Catalog’s role in data discovery and governance, not processing or storage.

The three security zones of control in Oracle’s security framework are "Assess" (A), for identifying risks and sensitive data, "Detect" (B), for monitoring and identifying threats, and "Prevent" (C), for implementing safeguards. "Solve" (D) is not a standard zone (perhaps intended as "Resolve," but still not part of the trio). Oracle’s security model, as seen in Data Safe and OCI, defines these as core zones.

The Oracle-recommended way to upgrade databases is "AutoUpgrade" (D). AutoUpgrade automates the upgrade process, handling pre-checks, upgrades, and post-upgrade tasks with minimal manual intervention, reducing errors and downtime. "Database Upgrade Assistant (DBUA)" (A) is a GUI tool but less automated, "Data Pump Export/Import" (B) is for data migration, not direct upgrades, and "Command Line Upgrade" (C) is manual and error-prone. Oracle’s official upgrade guides endorse AutoUpgrade for its efficiency and reliability.

For the "MySQL Database Service," the "Start" command (A) resumes OCPU billing, as it activates the database instance, incurring compute costs. "Stop" (B) halts billing by suspending the instance, "Restart" (C) is a stop-then-start sequence, and "Backup" (D) affects storage, not OCPU billing. Oracle’s MySQL Service documentation ties billing to the Start command.

"Autonomous Transaction Processing" (ATP) is "used for OLTP and mixed workloads" (A), designed for high-performance transactional processing and hybrid workloads. "Data is stored in columnar format" (B) applies to Autonomous Data Warehouse, not ATP. "Used for analytic workloads" (C) is ADW’s focus, and "Used with data marts and machine learning" (D) is more ADW-specific. Oracle’s ATP documentation confirms its OLTP focus.

In the Oracle Data Platform, the "Supply Side" refers to foundational data elements that are passively collected and structured to provide meaning within the data ecosystem. According to Oracle’s official documentation, the supply side includes "Business rules" (A), which define the logic and policies governing data usage, ensuring consistency and compliance, and "Domain objects" (B), which represent structured entities or concepts within a business domain, forming the backbone of data modeling. "Technical definitions of business terms" (C) pertain to metadata management, and "Reports" (D) are outputs rather than core supply-side models. Oracle’s Data Platform Foundations emphasize business rules and domain objects as key components of the supply side for data integration and processing.

To create or modify Oracle Cloud Infrastructure (OCI) resources, "OCI REST APIs" (A) and "OCI Command-line Interface (CLI)" (C) are two primary methods. OCI REST APIs allow programmatic management of resources via HTTP requests, while the OCI CLI provides a command-line tool for scripting and automation. "Remote Desktop Protocol (RDP)" (B) is for accessing Windows-based systems, not OCI resource management, and "Secure Shell (SSH)" (D) is for accessing compute instances, not broadly creating or modifying resources. Oracle’s OCI documentation confirms REST APIs and CLI as standard management tools.

"SQLcl (including Liquibase)" (D) is the tool provided to support CI/CD workflows. SQLcl integrates with Liquibase to track, version, and deploy database schema changes, aligning withCI/CD pipelines. "ADB console" (A) is for monitoring, "Database Actions" (B) is for SQL tasks, and "SQL Developer" (C) is a GUI tool, none of which are CI/CD-focused. Oracle’s documentation highlights SQLcl’s Liquibase integration for DevOps workflows.

From the OCI Console for an "Oracle Autonomous Database," you can "Scale up/down CPU" (A) to adjust compute resources dynamically and "Increase Storage allocated for Database" (D) to expand capacity, both with no downtime. "Increase Network Bandwidth" (B) is not a console-adjustable parameter (managed by Oracle), and "Scale up/down Memory" (C) is not independentlyconfigurable (tied to CPU scaling). Oracle’s documentation confirms CPU and storage scaling as user-controlled actions.

The "Converged Database" facilitates API access by "A REST API is automatically generated on top of SQL or stored procedures" (B), using Oracle REST Data Services (ORDS). This allows developers to expose database logic as RESTful endpoints without manual coding. Option A is incorrect, as no separate compute instance is provided. Option C oversimplifies, as multiple REST interfaces can be created, not just one. Option D misrepresents the ADB Wallet’s role, which is for security, not API generation. Oracle’s documentation highlights ORDS auto-generation as a converged feature.

In OCI Identity and Access Management (IAM), "Groups" (A) is the capability that helps organize multiple users into teams. Groups allow administrators to assign permissions collectively to a set of users, simplifying access management. "Policies" (B) define permissions but don’t organize users, "Users" (C) are individual accounts, and "Roles" (D) are not a distinct IAM construct in OCI (unlike other clouds). Oracle’s IAM documentation identifies Groups as the mechanism for team-based organization.

"Exadata DB Systems" (B) is not available in the Oracle Cloud Free Tier. The Free Tier includes "Autonomous Data Warehouse" (A) with limited resources, "Compute" (C) instances, and "Monitoring" (D) services, but Exadata DB Systems, being a high-performance, premium offering, requires a paid subscription. Oracle’s Free Tier documentation lists eligible services, explicitly excluding Exadata.