Apache Tajo MCQs and Answers With Explanation – Are you preparing for an interview on Apache Tajo but don’t know where to begin your preparation? Worry not, this article on Apache Tajo Multiple Choice Questions provides a brief introduction to Apache Tajo and offers an Apache Tajo Quiz on relevant concepts. Apache Tajo is an open-source data warehousing and query processing system that provides high-performance and fault-tolerant distributed processing of large-scale datasets. Developed by the Apache Software Foundation, Tajo is designed to seamlessly integrate with Apache Hadoop and other big data technologies, making it a popular choice for a variety of data warehousing and analytics use cases.
Apache Tajo MCQs
This article accommodates the Apache Tajo MCQs with Answers, which will help you assess your knowledge and deepen your understanding of this powerful data processing system. By scrolling down to the below sections you can find the Top 45 Apache Tajo Multiple Choice Questions with Answers along with detailed explanations so that you can understand the concept better and full fledgedly.
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Apache Tajo Multiple Choice Questions
| Name | Apache Tajo |
| Exam Type | MCQ (Multiple Choice Questions) |
| Category | Technical Quiz |
| Mode of Quiz | Online |
Top 45 Apache Tajo MCQs with Answers | Practice Online Quiz
1. What is Apache Tajo?
a) A distributed SQL engine
b) A NoSQL database
c) A data visualization tool
d) A programming language
Answer: a) A distributed SQL engine
Explanation: Apache Tajo is a distributed SQL engine that provides a unified interface for accessing and analyzing large-scale data in various formats across distributed systems.
2. Which programming language is used to develop Apache Tajo?
a) Java
b) Python
c) Ruby
d) PHP
Answer: a) Java
Explanation: Apache Tajo is written in Java programming language and uses Apache Hadoop as its underlying distributed processing framework.
3. What is the purpose of Apache Tajo?
a) To provide a distributed computing platform
b) To provide a database management system
c) To provide a machine learning framework
d) To provide a data analysis tool
Answer: d) To provide a data analysis tool
Explanation: Apache Tajo is primarily designed to provide a distributed SQL engine for large-scale data analysis, processing and querying.
4. Which of the following is a key feature of Apache Tajo?
a) Distributed transaction processing
b) Real-time data processing
c) Columnar storage
d) MapReduce processing
Answer: c) Columnar storage
Explanation: Apache Tajo uses columnar storage to optimize data processing and analysis. This allows for efficient compression and faster access to data.
5. What is the primary benefit of using Apache Tajo?
a) Reduced data processing time
b) Increased data storage capacity
c) Simplified data management
d) Improved data security
Answer: a) Reduced data processing time
Explanation: Apache Tajo is designed to optimize data processing and analysis, which can result in significant reductions in processing time for large-scale data sets.
6. Which of the following is a disadvantage of using Apache Tajo?
a) Limited data format support
b) High hardware requirements
c) Limited scalability
d) Limited query functionality
Answer: b) High hardware requirements
Explanation: Apache Tajo requires significant hardware resources to operate effectively, which can be a barrier to adoption for some organizations.
7. Which of the following is an example of a data format supported by Apache Tajo?
a) XML
b) JSON
c) CSV
d) All of the above
Answer: d) All of the above
Explanation: Apache Tajo supports a wide variety of data formats, including XML, JSON, CSV, and more.
8. Which of the following is a component of Apache Tajo?
a) HDFS
b) YARN
c) MapReduce
d) Hive
Answer: d) Hive
Explanation: Hive is a component of Apache Tajo that provides a SQL-like interface for querying data stored in Hadoop Distributed File System (HDFS).
9. Which of the following is a benefit of using Apache Tajo for data analysis?
a) Improved query performance
b) Improved data security
c) Improved data storage efficiency
d) Improved data visualization capabilities
Answer: a) Improved query performance
Explanation: Apache Tajo is designed to optimize data processing and analysis, which can result in significant improvements in query performance.
10. Which of the following is a use case for Apache Tajo?
a) Real-time data processing
b) Database management
c) Machine learning
d) Data warehousing
Answer: d) Data warehousing
Explanation: Apache Tajo is well-suited for use in data warehousing environments, where large-scale data sets must be stored and analyzed efficiently.
11. Which of the following is a benefit of using columnar storage?
a) Reduced data storage capacity
b) Increased data processing speed
c) Improved data security
d) Simplified data
Answer: b) Increased data processing speed
Explanation: Columnar storage is a technique for storing data that organizes it by columns rather than rows. This allows for faster data access and processing, particularly for queries that only require access to a subset of columns.
12. Which of the following is not a supported database management system for Apache Tajo?
a) MySQL
b) Oracle
c) PostgreSQL
d) MongoDB
Answer: d) MongoDB
Explanation: Apache Tajo does not support MongoDB as a database management system. It does support MySQL, Oracle, and PostgreSQL, among others.
13. Which of the following is a benefit of using Apache Tajo over traditional relational database management systems?
a) Lower hardware requirements
b) Lower licensing costs
c) Higher data storage capacity
d) Higher query performance
Answer: d) Higher query performance
Explanation: Apache Tajo is designed to optimize data processing and analysis, which can result in significantly higher query performance compared to traditional relational database management systems.
14. Which of the following is not a supported programming language for Apache Tajo?
a) Java
b) Python
c) Ruby
d) C++
Answer: d) C++
Explanation: Apache Tajo is primarily written in Java and supports programming languages that can interface with Java, such as Python and Ruby.
15. Which of the following is a key benefit of using distributed computing systems like Apache Tajo?
a) Increased data security
b) Improved data storage efficiency
c) Improved data processing speed
d) Simplified data management
Answer: c) Improved data processing speed
Explanation: Distributed computing systems like Apache Tajo can process large-scale data sets faster and more efficiently than traditional single-node systems.
16. Which of the following is a component of the Apache Tajo architecture?
a) Data nodes
b) Master node
c) Application nodes
d) Client nodes
Answer: b) Master node
Explanation: The Apache Tajo architecture includes a master node that coordinates the activities of multiple data nodes.
17. Which of the following is a key challenge in using Apache Tajo?
a) Managing data consistency across distributed systems
b) Managing data storage capacity
c) Managing data access permissions
d) Managing data encryption
Answer: a) Managing data consistency across distributed systems
Explanation: Maintaining data consistency across distributed systems can be a challenge in Apache Tajo and other distributed computing environments.
18. Which of the following is not a supported file system for Apache Tajo?
a) HDFS
b) NFS
c) S3
d) Local file system
Answer: b) NFS
Explanation: Apache Tajo supports HDFS, S3, and local file systems, but not NFS.
19. Which of the following is a benefit of using Apache Tajo for data analysis in the cloud?
a) Reduced hardware costs
b) Improved data security
c) Improved query performance
d) Simplified data management
Answer: a) Reduced hardware costs
Explanation: Using Apache Tajo in the cloud can reduce hardware costs and improve scalability compared to on-premise deployments.
20. Which of the following is a key feature of Apache Tajo for managing data consistency?
a) Distributed locking
b) Distributed caching
c) Distributed encryption
d) Distributed replication
Answer: d) Distributed replication
Explanation: Apache Tajo supports distributed replication, which helps ensure data consistency across multiple nodes.
21. Which of the following is not a supported data format for Apache Tajo?
a) ORC
b) Parquet
c) Avro
d) BSON
Answer: d) BSON
Explanation: Apache Tajo supports ORC, Parquet, and Avro data formats, among others, but not BSON.
22. Which of the following is a key advantage of using Apache Tajo over Apache Hive?
a) Higher data storage capacity
b) Lower hardware requirements
c) Higher query performance
d) Lower licensing costs
Answer: c) Higher query performance
Explanation: Apache Tajo is designed to optimize query performance, which can be significantly higher than that of Apache Hive.
23. Which of the following is not a supported join type in Apache Tajo?
a) Hash join
b) Merge join
c) Nested loop join
d) Tree join
Answer: d) Tree join
Explanation: While Apache Tajo supports hash joins, merge joins, and nested loop joins, it does not support tree joins.
24. Which of the following is a key benefit of using columnar storage for data analysis?
a) Lower hardware requirements
b) Higher query performance
c) Improved data security
d) Simplified data management
Answer: b) Higher query performance
Explanation: Columnar storage can provide faster query performance by allowing for more efficient data access and processing.
25. Which of the following is not a supported operating system for Apache Tajo?
a) Windows
b) Linux
c) macOS
d) Solaris
Answer: d) Solaris
Explanation: Apache Tajo supports Windows, Linux, and macOS, among others, but not Solaris.
26. Which of the following is a key advantage of using distributed computing systems like Apache Tajo for data analysis?
a) Improved data storage efficiency
b) Simplified data management
c) Improved query performance
d) Lower hardware requirements
Answer: c) Improved query performance
Explanation: Distributed computing systems like Apache Tajo can provide significantly faster query performance than traditional single-node systems.
27. Which of the following is a key feature of Apache Tajo for managing data access?
a) Distributed caching
b) Distributed locking
c) Distributed encryption
d) Distributed replication
Answer: b) Distributed locking
Explanation: Apache Tajo supports distributed locking to manage data access across multiple nodes.
28. Which of the following is not a supported data type in Apache Tajo?
a) INT
b) FLOAT
c) VARCHAR
d) DECIMAL
Answer: d) DECIMAL
Explanation: Apache Tajo supports INT, FLOAT, and VARCHAR data types, among others, but not DECIMAL.
29. Which of the following is not a supported data source type for Apache Tajo?
a) Relational database
b) Flat file
c) JSON
d) XML
Answer: d) XML
Explanation: Apache Tajo supports relational databases, flat files, and JSON data sources, among others, but not XML.
30. Which of the following is a key challenge in using Apache Tajo for data analysis?
a) Managing data storage capacity
b) Managing data consistency across distributed systems
c) Managing data access permissions
d) Managing data encryption
Answer: b) Managing data consistency across distributed systems
Explanation: Maintaining data consistency across distributed systems can be a challenge in Apache Tajo and other distributed computing environments.
31. Which of the following is a key advantage of using Apache Tajo over Apache Spark?
a) Lower hardware requirements
b) Higher data storage capacity
c) Higher query performance
d) Lower licensing costs
Answer: c) Higher query performance
Explanation: Apache Tajo is designed to optimize query performance, which can be significantly higher than that of Apache Spark.
32. Which of the following is a key feature of Apache Tajo for managing data access permissions?
a) Role-based access control
b) Attribute-based access control
c) Mandatory access control
d) Discretionary access control
Answer: a) Role-based access control
Explanation: Apache Tajo supports role-based access control to manage data access permissions.
33. Which of the following is not a supported file format for data storage in Apache Tajo?
a) Parquet
b) ORC
c) Avro
d) CSV
Answer: d) CSV
Explanation: Apache Tajo supports Parquet, ORC, and Avro file formats for data storage, but not CSV.
34. Which of the following is a key advantage of using Apache Tajo over traditional relational databases?
a) Lower licensing costs
b) Higher query performance
c) Lower hardware requirements
d) Simpler data management
Answer: b) Higher query performance
Explanation: Apache Tajo is designed for high-performance data analysis, which can be significantly faster than traditional relational databases.
35. Which of the following is a key advantage of using Apache Tajo over Apache Hadoop for data analysis?
a) Lower hardware requirements
b) Simpler data management
c) Higher query performance
d) Lower licensing costs
Answer: c) Higher query performance
Explanation: Apache Tajo is designed to optimize query performance, which can be significantly higher than that of Apache Hadoop.
36. Which of the following is a key feature of Apache Tajo for managing distributed data processing?
a) Distributed caching
b) Distributed locking
c) Distributed encryption
d) Distributed replication
Answer: a) Distributed caching
Explanation: Apache Tajo supports distributed caching to optimize distributed data processing.
37. Which of the following is a key challenge in using Apache Tajo for data analysis in a cloud environment?
a) Managing data storage capacity
b) Managing data consistency across distributed systems
c) Managing data access permissions
d) Managing network latency
Answer: d) Managing network latency
Explanation: Network latency can be a challenge when using distributed computing systems like Apache Tajo in a cloud environment.
38. Which of the following is a key benefit of using Apache Tajo for data analysis in a cloud environment?
a) Lower hardware requirements
b) Simpler data management
c) Lower licensing costs
d) Improved scalability
Answer: d) Improved scalability
Explanation: Apache Tajo is designed for distributed computing and can be easily scaled up or down to handle varying workloads in a cloud environment.
39. Which of the following is not a supported query language in Apache Tajo?
a) SQL
b) HiveQL
c) Pig Latin
d) Jaql
Answer: d) Jaql
Explanation: Apache Tajo supports SQL, HiveQL, and Pig Latin query languages, among others, but not Jaql.
40. Which of the following is a key benefit of using Apache Tajo over traditional data warehousing solutions?
a) Lower hardware requirements
b) Simpler data management
c) Higher query performance
d) Lower licensing costs
Answer: c) Higher query performance
Explanation: Apache Tajo is designed for high-performance data analysis, which can be significantly faster than traditional data warehousing solutions.
41. Which of the following is a key feature of Apache Tajo for managing distributed data processing across multiple data centers?
a) Distributed caching
b) Distributed locking
c) Distributed encryption
d) Distributed replication
Answer: d) Distributed replication
Explanation: Apache Tajo supports distributed replication to manage data processing across multiple data centers.
42. Which of the following is not a supported data format for data storage in Apache Tajo?
a) Parquet
b) ORC
c) JSON
d) BSON
Answer: d) BSON
Explanation: Apache Tajo supports Parquet, ORC, and JSON data formats for data storage, but not BSON.
43. Which of the following is a key advantage of using Apache Tajo over traditional data warehousing solutions for data analysis?
a) Lower licensing costs
b) Simpler data management
c) Higher query performance
d) Lower hardware requirements
Answer: c) Higher query performance
Explanation: Apache Tajo is designed for high-performance data analysis, which can be significantly faster than traditional data warehousing solutions.
44. Which of the following is a key advantage of using Apache Tajo over traditional relational databases for data analysis?
a) Lower licensing costs
b) Simpler data management
c) Higher query performance
d) Lower hardware requirements
Answer: c) Higher query performance
Explanation: Apache Tajo is designed for high-performance data analysis, which can be significantly faster than traditional relational databases.
45. Which of the following is a key benefit of using Apache Tajo over Apache Hadoop for data analysis?
a) Lower hardware requirements
b) Simpler data management
c) Higher query performance
d) Lower licensing costs
Answer: c) Higher query performance
Explanation: Apache Tajo is designed to optimize query performance, which can be significantly higher than that of Apache Hadoop.
The Apache Tajo MCQs presented in this article provides a valuable resource for anyone seeking to test their knowledge and skills in using this powerful data warehousing and query processing system. By evaluating your understanding and highlighting important concepts, these Apache Tajo MCQs with Answers can help you become more proficient in utilizing Tajo for your big data needs. For more useful and productive articles to help brighten your career, follow Freshersnow.