NABTEB Data Processing Past Questions And Answers (Objective and Theory)
Section A: Data Processing Questions
What is the role of data masking in data processing, and how does it contribute to data security?
A) Improving data compression
B) Encrypting data during transmission
C) Hiding sensitive information in non-production environments
D) Increasing data redundancy
Answer: C) Hiding sensitive information in non-production environments
Explain the concept of data lineage and its significance in data processing.
A) Describing the evolution of data over time and its movement through systems
B) Establishing connections between distributed databases
C) Creating backup copies of data
D) Enhancing data compression algorithms
Answer: A) Describing the evolution of data over time and its movement through systems
In the context of data processing, what is the purpose of a data integration tool?
A) Reducing data redundancy
B) Managing data security
C) Facilitating the combination of data from different sources
D) Optimizing database performance
Answer: C) Facilitating the combination of data from different sources
How does a data pipeline contribute to efficient data processing workflows?
A) Storing historical data
B) Enabling real-time data analytics
C) Automating the flow and transformation of data between systems
D) Enhancing data compression techniques
Answer: C) Automating the flow and transformation of data between systems
What is the significance of data governance in ensuring data quality and compliance?
A) Establishing protocols for real-time data processing
B) Defining policies for managing and maintaining data accuracy and security
C) Improving data compression algorithms
D) Enhancing data storage capacity
Answer: B) Defining policies for managing and maintaining data accuracy and security
Section B: Theory Questions
Discuss the concept of data scalability and its importance in the context of growing datasets.
Answer: Data scalability refers to a system’s ability to handle increased data volume, transactions, or users without sacrificing performance. It is crucial for adapting to the growing demands of data processing, ensuring efficiency and responsiveness.
Explain the concept of eventual consistency in distributed databases and its trade-offs.
Answer: Eventual consistency allows distributed systems to achieve consistency over time, even if not immediately after an update. It involves trade-offs, such as temporary inconsistency, to improve system availability and fault tolerance in data processing.
Describe the role of data governance in mitigating risks associated with data processing.
Answer: Data governance establishes policies and procedures for managing, protecting, and ensuring the quality of data. It plays a crucial role in mitigating risks related to data breaches, compliance violations, and data inaccuracies during processing.
Discuss the impact of data latency on real-time data processing applications.
Answer: Data latency refers to the delay between data generation and its availability for processing. In real-time data processing applications, high latency can hinder timely decision-making. Minimizing latency is crucial to maintaining the responsiveness of real-time systems.
What are the key considerations when designing a data backup and recovery strategy in data processing?
Answer: Considerations include frequency of backups, data storage locations, disaster recovery plans, and testing procedures. A well-designed backup and recovery strategy ensures data availability and integrity in the event of system failures or data loss.
