ORACLE 1Z0-1195-25 EXAM | RELIABLE 1Z0-1195-25 EXAM BLUEPRINT - ASSIST YOU CLEAR 1Z0-1195-25: ORACLE DATA PLATFORM 2025 FOUNDATIONS ASSOCIATE EXAM

Oracle 1Z0-1195-25 Exam | Reliable 1Z0-1195-25 Exam Blueprint - Assist you Clear 1Z0-1195-25: Oracle Data Platform 2025 Foundations Associate Exam

Oracle 1Z0-1195-25 Exam | Reliable 1Z0-1195-25 Exam Blueprint - Assist you Clear 1Z0-1195-25: Oracle Data Platform 2025 Foundations Associate Exam

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Oracle Data Platform 2025 Foundations Associate Sample Questions (Q45-Q50):

NEW QUESTION # 45
Which two are true about the Autonomous JSON Database?

  • A. Accessed via document APIs
  • B. Applications cannot be built without SQL
  • C. Instant auto-scaling
  • D. A DBA is required

Answer: A,C

Explanation:
The "Autonomous JSON Database" is "Accessed via document APIs" (A), such as SODA, for NoSQL-style operations, and offers "Instant auto-scaling" (D) for compute and storage with no downtime. "Applications cannot be built without SQL" (B) is false, as document APIs suffice, and "A DBA is required" (C) is incorrect due to its self-managing nature. Oracle's documentation highlights these autonomous and API-driven features.


NEW QUESTION # 46
Which two are true about the Data Catalog?

  • A. Harvest object storage to derive schemas
  • B. Management is required
  • C. Data Catalog does not integrate with Autonomous Database
  • D. Discover data using powerful search

Answer: A,D

Explanation:
The "OCI Data Catalog" has two true characteristics: "Harvest object storage to derive schemas" (B), as it scans OCI Object Storage to extract metadata and schemas, and "Discover data using powerful search" (C), offering robust search capabilities for data discovery. "Management is required" (A) is vague and not a defining trait, and "Data Catalog does not integrate with Autonomous Database" (D) is false, as it integrates seamlessly for metadata management. Oracle's documentation confirms these features.


NEW QUESTION # 47
Which statement is true about Autonomous Transaction Processing?

  • A. It is used for analytic workloads
  • B. It is used with data marts and machine learning
  • C. It is used for OLTP and mixed workloads
  • D. Data is stored in columnar format

Answer: C

Explanation:
"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.


NEW QUESTION # 48
Oracle Lakehouse provides extensive data processing capabilities, to accommodate the migration of existing architectures or the creation of new, agile ones. Which service does NOT provide data processing on Oracle Cloud Infrastructure (OCI) Lakehouse?

  • A. OCI Data Flow
  • B. NoSQL Service
  • C. Autonomous Database
  • D. Big Data Service

Answer: B

Explanation:
In the Oracle Cloud Infrastructure (OCI) Lakehouse, data processing capabilities are provided by services designed to handle computation and transformation of data. "Autonomous Database" (A) offers self-managing data processing for SQL workloads, "Big Data Service" (C) supports large-scale processing with Hadoop and Spark, and "OCI Data Flow" (D) enables serverless Spark processing. However, "NoSQL Service" (B) is primarily a storage service for unstructured key-value data, optimized for high-performance retrieval and scalability, not for general data processing tasks like transformation or analytics. Oracle's Lakehouse documentation emphasizes processing services like Autonomous Database, Big Data Service, and OCI Data Flow, while NoSQL Service is positioned for persistence and access rather than processing.


NEW QUESTION # 49
Which are the capabilities of Oracle Autonomous Database that can accelerate innovation? (Choose 3)

  • A. Provisions a data warehouse in seconds
  • B. Instant scaling of storage
  • C. Scaling of CPUs with very little downtime
  • D. Built-in AI and ML helps find patterns that could identify undiscovered anomalies

Answer: B,C,D

Explanation:
"Oracle Autonomous Database" accelerates innovation with: "Scaling of CPUs with very little downtime" (A), enabling dynamic performance adjustments online; "Built-in AI and ML helps find patterns that could identify undiscovered anomalies" (B), leveraging in-database machine learning; and "Instant scaling of storage" (C), providing flexibility without interruption. "Provisions a data warehouse in seconds" (D) is true but more a setup feature than an ongoing innovation driver. Oracle's documentation emphasizes these capabilities for rapid development and insights.


NEW QUESTION # 50
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