Hitachi Vantara HQT-2925 Certification Exam Sample Questions and Answers

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Hitachi Vantara HQT-2925 (Presales Data Operations Foundation) Sample Questions:

01. In what way does the Pentaho+ platform impact data management strategies?
a) By reducing the need for data analytics
b) By promoting standalone data systems
c) By integrating diverse data sources
d) By focusing solely on hardware solutions
 
02. What are primary use cases of Pentaho Data Optimizer in enterprise environments?
(Choose Two)
a) Reducing cloud infrastructure costs
b) Centralized user management
c) Optimization of data warehouse workloads
d) Managing social media interactions
 
03. What challenge does the Pentaho+ platform primarily address for data-driven organizations?
a) Complexity of real-time data processing
b) Integration of multi-source data
c) Visualization of data analytics
d) Security of cloud-stored data
 
04. What is the main purpose of Pentaho Business Analytics in enterprise environments?
a) Long-term archival of operational logs
b) Real-time processing of sensor data
c) Enabling data visualization and insights through reports and dashboards
d) Managing cloud infrastructure policies
 
05. Which features are core to Pentaho Data Catalog’s capabilities?
(Choose two)
a) Data encryption and tokenization
b) End-to-end data lineage tracking
c) Federated data storage
d) Metadata-driven data discovery
 
06. What architectural component is responsible for enforcing validation rules in Pentaho Data Quality?
a) Pentaho Analyzer
b) Rule engine
c) Metadata indexer
d) Stream processor
 
07. What are two core functions of Pentaho Data Optimizer that impact data performance and cost?
(Choose Two)
a) Data visualization generation
b) Pruning and tiering unused data
c) Content scheduling for reports
d) Retention policy enforcement
 
08. What is the core architectural principle of the Pentaho Data Catalog?
a) Centralized repository for static data only
b) Lightweight desktop-based metadata management
c) Scalable, metadata-driven architecture designed for enterprise data visibility
d) In-memory database replication tool
 
09. What use cases highlight the value of Pentaho Data Quality in enterprise environments?
(Choose Two)
a) Enhancing operational dashboards
b) Reducing manual data cleansing effort
c) Accelerating AI model training
d) Ensuring regulatory data compliance
 
10. Which of the following are supported features of Pentaho Business Analytics?
(Choose Two)
a) Pixel-perfect report generation
b) Workflow orchestration
c) Real-time dashboarding
d) Rule-based data archiving

Solutions:

Question: 01

Answer: c

Question: 02

Answer: a, c

Question: 03

Answer: b

Question: 04

Answer: c

Question: 05

Answer: b, d

Question: 06

Answer: b

Question: 07

Answer: b, d

Question: 08

Answer: c

Question: 09

Answer: b, d

Question: 10

Answer: a, c

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