This set of HDFS MCQ covers important concepts of Big Data Technology related to the Hadoop Distributed File System (HDFS) including Name Node, Data Node, replication, block storage, fault tolerance, and HDFS architecture. Useful for university semester exams, and other competitive examinations.
Topic: Big Data Technology – HDFS | Set: 1
Difficulty: Easy to Medium | Total Questions: 15
HDFS MCQ Questions
Q1. What is the primary purpose of the Hadoop Distributed File System (HDFS)?
- A. To provide real-time data processing
- B. To store enormous volumes of data consistently on commodity hardware
- C. To manage relational database transactions
- D. To provide high-latency data access
View Answer & Explanation
Answer: B
Explanation: HDFS is designed to store very large data sets reliably across clusters of low-cost hardware.
Q2. Which component in HDFS acts as the “Master” node?
- A. Data Node
- B. Secondary Name Node
- C. Name Node
- D. Client Node
View Answer & Explanation
Answer: C
Explanation: The Name Node serves as the master, coordinating data access and managing the file system metadata.
Q3. Which of these is a core design goal of the HDFS architecture?
- A. Low throughput
- B. Minimal scalability
- C. Fault tolerance
- D. Single point of failure
View Answer & Explanation
Answer: C
Explanation: HDFS is built for high throughput, scalability, and the ability to handle hardware failures automatically.
Q4. What is the default size of an HDFS data block?
- A. 64 KB
- B. 128 MB
- C. 1 GB
- D. 512 MB
View Answer & Explanation
Answer: B
Explanation: While configurable, the standard default size for a data block in HDFS is 128 MB.
Q5. In HDFS architecture, where is the actual data content of files stored?
- A. Name Node
- B. Secondary Name Node
- C. Data Nodes
- D. Metadata logs
View Answer & Explanation
Answer: C
Explanation: While the Name Node manages metadata, the actual file data is stored in blocks on the Data Nodes.
Q6. What type of hardware is HDFS specifically designed to run on?
- A. High-end supercomputers
- B. Commodity hardware
- C. Specialized GPU clusters
- D. Mainframe servers
View Answer & Explanation
Answer: B
Explanation: HDFS is intended to be cost-effective by working on clusters of low-cost, standard commodity hardware.
Q7. What is the standard default replication factor in HDFS?
- A. 1
- B. 2
- C. 3
- D. 5
View Answer & Explanation
Answer: C
Explanation: HDFS typically creates three copies of every data block to ensure reliability and fault tolerance.
Q8. HDFS is built on which data access pattern?
- A. Write-many, read-once
- B. Write-once, read-many
- C. Write-once, read-once
- D. Read-only
View Answer & Explanation
Answer: B
Explanation: This pattern simplifies data coherency and allows for high-throughput data streaming.
Q9. If a file is 5 MB in size and the block size is 128 MB, how much HDFS storage does it occupy?
- A. 128 MB
- B. 5 MB
- C. 133 MB
- D. 64 MB
View Answer & Explanation
Answer: B
Explanation: Unlike some systems, an HDFS file does not occupy a full block if it is smaller than the block size.
Q10. Which node is responsible for performing block formation, deletion, and replication?
- A. Name Node
- B. Data Node
- C. Client Node
- D. Secondary Name Node
View Answer & Explanation
Answer: B
Explanation: Data Nodes perform these physical data operations as instructed by the Master Name Node.
Q11. What does the Name Node’s metadata include?
- A. The actual content of the files
- B. Block locations, names, and permissions
- C. User login passwords
- D. CPU temperature of the cluster
View Answer & Explanation
Answer: B
Explanation: The metadata maps file names to their respective block IDs and physical locations on Data Nodes.
Q12. Why is a large block size used in HDFS?
- A. To increase data fragmentation
- B. To reduce seek costs
- C. To make it harder to read small files
- D. To consume more RAM
View Answer & Explanation
Answer: B
Explanation: Large blocks minimize the time spent searching for the start of a data stream relative to the amount of data read.
Q13. Which component acts as an “assistant” to the primary Name Node?
- A. Data Node
- B. Secondary Name Node
- C. Master Node
- D. Rack Switch
View Answer & Explanation
Answer: B
Explanation: The Secondary Name Node performs background maintenance tasks to support the primary Name Node.
Q14. HDFS is most suitable for which type of files?
- A. Millions of 1 KB files
- B. Files of hundreds of megabytes or gigabytes
- C. Encrypted system passwords
- D. Real-time temporary logs
View Answer & Explanation
Answer: B
Explanation: HDFS is optimized for storing and processing very large files rather than many small ones.
Q15. How does HDFS achieve high throughput?
- A. By using very fast expensive hardware
- B. By focusing on whole data set reading over low-latency access
- C. By limiting the number of users
- D. By disabling fault tolerance
View Answer & Explanation
Answer: B
Explanation: HDFS prioritizes streaming the entire data set efficiently rather than quickly retrieving the first record.
Conclusion
These HDFS MCQ Questions help strengthen understanding of important Big Data Technology concepts such as Name Node, Data Node, block storage, replication, fault tolerance, and distributed storage systems. These topics are frequently asked in university semester exams, and other technical competitive examinations.
For better understanding, also practice concepts related to MapReduce, YARN, Hadoop Architecture, and Big Data processing models.
Fore theory and concepts, refer to Hadoop HDFS.