Q91
Q91 How does real-time analytics differ from batch processing in Big Data?
It processes data at rest
It processes data in real-time
It requires less memory
It is more cost-effective
Q92
Q92 What is the role of predictive analytics in Big Data?
To forecast future trends
To encrypt data
To clean datasets
To partition data
Q93
Q93 What is a major challenge when performing data analytics on Big Data?
Limited storage
Scalability issues
Small datasets
Lack of structured data
Q94
Q94 Which Python library is commonly used for data analytics and visualization in Big Data?
NumPy
Matplotlib
Pandas
Hadoop
Q95
Q95 Which SQL clause is commonly used to group data in an analytics query?
GROUP BY
ORDER BY
HAVING
JOIN
Q96
Q96 How do you perform a basic aggregation in Apache Spark using the DataFrame API?
groupBy().sum()
filter().sum()
aggregate().mean()
map().reduce()
Q97
Q97 A data analytics query is returning incorrect results. What could be the likely cause?
Incorrect data types
Proper indexing
Small dataset
Optimized query
Q98
Q98 A real-time analytics job is running slowly in a distributed environment. What could be the issue?
Network latency
Too many reducers
Small data size
Insufficient memory
Q99
Q99 A data analytics pipeline is failing due to memory overflow. What could be the most likely cause?
Too few input records
High volume of data
Incorrect query syntax
Improper data types
Q100
Q100 What is the primary challenge of securing Big Data environments?
Data redundancy
Scalability
Data integrity
Data privacy
Q101
Q101 Which of the following techniques is commonly used to secure data in transit in Big Data environments?
Data encryption
Data replication
Data compression
Data sharding
Q102
Q102 What is the role of tokenization in Big Data security?
To store data in multiple locations
To create secure backups
To replace sensitive data with non-sensitive equivalents
To compress data
Q103
Q103 How does data anonymization protect privacy in Big Data analytics?
By deleting sensitive data
By removing personal identifiers
By encrypting data
By storing data locally
Q104
Q104 What is a common security risk when using cloud-based storage for Big Data?
Data replication
Weak encryption
Network redundancy
Data compression
Q105
Q105 Which command is used in Hadoop to enable data encryption on HDFS?
hdfs dfs -encrypt
hadoop security -encrypt
hadoop dfsadmin -encrypt
hadoop fs -encrypt
Q106
Q106 How do you apply access control policies to a Big Data cluster in Apache Hadoop?
Use firewall rules
Use access control lists (ACLs)
Use load balancing
Use encryption
Q107
Q107 Which of the following methods is commonly used to enforce encryption in Apache Spark jobs?
AES encryption
TLS encryption
RSA encryption
End-to-end encryption
Q108
Q108 A Big Data pipeline is failing because the security certificates are expired. What is the most likely solution?
Increase memory allocation
Renew the security certificates
Restart the pipeline
Modify the security protocol
Q109
Q109 A Big Data cluster is vulnerable to unauthorized access. What could be the cause?
Weak access control policies
Data anonymization
Strong encryption
Data compression
Q110
Q110 What is the key difference between batch processing and stream processing?
Processes data in real-time
Processes data at scheduled intervals
Stores data permanently
Requires more resources
Q111
Q111 Which of the following is a common challenge in stream processing?
High storage cost
Latency
High throughput
Small data size
Q112
Q112 How does Apache Kafka handle fault tolerance in stream processing?
By using data compression
By replicating data across brokers
By encrypting data
By aggregating data
Q113
Q113 What is the role of windowing in stream processing?
To split data into small pieces
To manage data latency
To group data into time-based or count-based windows
To increase throughput
Q114
Q114 Which Apache Spark function is used to start a stream query in Spark Streaming?
streamStart()
queryStream()
startStream()
writeStream().start()
Q115
Q115 How do you define a sliding window for stream processing in Apache Flink?
window.slide()
window().count()
window().time()
window().slide()
Q116
Q116 Which command is used to monitor the performance of an Apache Kafka stream?
kafka-consumer-monitor
kafka-performance-monitor
kafka-run-class
kafka-consumer-groups --describe
Q117
Q117 A Spark Streaming job is processing data slowly. What could be the possible cause?
Incorrect batch size
High throughput
Too many executors
Small window size
Q118
Q118 A Kafka stream is dropping messages unexpectedly. What could be the most likely reason?
High message retention
Low replication factor
High throughput
Too many consumers
Q119
Q119 What is the primary purpose of data visualization in Big Data?
Data storage
Data encryption
Insight communication
Data sorting
Q120
Q120 Which of the following is a commonly used tool for data visualization in Big Data analytics?
Apache Hive
Tableau
Cassandra
Pig
