Palo Alto Networks

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Data Management Fundamentals Questions 66–70 (page: 15)

Updated On: 10-Feb-2026

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QUESTION: 66

Integrating two data stores using batch or real-time synchronous approaches results in a difference in:

Source of truth
Data quality
Timestamping
Lethargy
Latency

Answer(s): E

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QUESTION: 67

Basic profiling of data involves analysis of:

Data sources, data visualisations, data latency and ownership
Data lakes, data warehouses and operational data stores
Data criteria, data acquisition, data policy and procedures inside data governance
Data formats, data values, patterns and relationships
Data clusters, data clouds, data repositories and metadata libraries

Answer(s): D

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QUESTION: 68

Mapping requirements and rules for moving data from source to target enables:

Extract
Backups
Analysis
Load
Transformation

Answer(s): E

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QUESTION: 69

Big data is often defined by three characteristics. They are:

Volume, Variety and Velocity
Expansive, Engaged and Enormous
Direction, Depth and Details
Size, Speed and Sensitivity
Complexity, Compliance and Completeness

Answer(s): A

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QUESTION: 70

GDPR and PIPEDA are examples of:

Data protection regulations
Primary information parsing algorithms
Global data modelling standards
Data program rules
Content management systems

Answer(s): A

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