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1477-C2090-101: IBM Big Data Engineer
#Question
177. In using distributed systems for big data, what is a common challenge associated with data consistency?
A.
Accessibility
B.
Network latency
C.
Data replication
D.
Consistency across nodes
Correct Answer:
D
Ensuring consistency across nodes in distributed systems is a common challenge due to the inherent nature of data replication and updates across multiple locations.
#Question
176. What describes a primary goal of implementing data governance policies in an organization?
A.
Limit user involvement
B.
Reduce data access
C.
Increase complexity
D.
Ensure data accountability
Correct Answer:
D
A primary goal of implementing data governance policies is to ensure accountability in data management throughout the organization.
#Question
175. What type of database would typically be used to store hierarchical data structures effectively?
A.
Flat file storage
B.
Graph database
C.
Relational database
D.
Key-Value store
Correct Answer:
B
A graph database is designed to store and manage hierarchical data structures effectively, allowing for relationship-based querying.
#Question
174. During a data migration project, what is vital to ensure data compatibility across systems?
A.
User access permissions
B.
Data mapping
C.
Ignoring existing formats
D.
Training staff
Correct Answer:
B
Data mapping is vital in a data migration project to ensure that data is compatible between different systems and formats.
#Question
173. To improve response time in a big data application, which technique should be employed?
A.
Data fragmentation
B.
Batch processing
C.
Ignoring caching strategies
D.
In-memory processing
Correct Answer:
D
In-memory processing can significantly improve response time by keeping frequently accessed data in memory for quick retrieval.
#Question
172. What is the primary function of data lineage tools in big data environments?
A.
Tracking data movement
B.
Reducing storage costs
C.
Increasing data redundancy
D.
Estimating data value
Correct Answer:
A
The primary function of data lineage tools is to track data movement throughout its lifecycle, providing visibility and traceability.
#Question
171. Which big data processing framework is designed for batch processing and is known for its robustness?
A.
Microsoft Azure
B.
Apache Spark
C.
Hadoop MapReduce
D.
Apache Flink
Correct Answer:
C
Hadoop MapReduce is a well-known framework designed specifically for batch processing in a big data context.
1477-C2090-101: IBM Big Data Engineer
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