MCQs

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Overall MCQs for Reference

1. What is Spark SQL primarily used for?
   a. Processing unstructured data
   b. Processing structured and semi-structured data
   c. Running machine learning models
   d. Streaming real-time data
   Answer: b
   Source:freshersnow​
2. Which programming languages can be used with Spark SQL?
   a. Scala, Java, Python
   b. C, C++
   c. JavaScript, Ruby
   d. PHP, Swift
   Answer: a
   Source:freshersnow​
3. What is a DataFrame in Spark SQL?
   a. A distributed collection of data organized into named columns
   b. An algorithm for data encryption
   c. A real-time data stream
   d. A graph database
   Answer: a
   Source:freshersnow​
4. Which function is used to run SQL queries on DataFrames?
   a. df.sql()
   b. sql() method of SQLContext or SparkSession
   c. df.query()
   d. executeSQL() method
   Answer: b
   Source:freshersnow​
5. Which of the following is a valid way to filter data in Spark SQL?
   a. df.select()
   b. df.filter()
   c. df.describe()
   d. df.collect()
   Answer: b
   Source:freshersnow​
6. What does the withColumn function do?
   a. Filters rows
   b. Adds a new column or replaces an existing column in a DataFrame
   c. Aggregates data
   d. Joins two DataFrames
   Answer: b
   Source:freshersnow​
7. Which Spark SQL function aggregates data?
   a. sum()
   b. avg()
   c. max()
   d. All of the above
   Answer: d
   Source:freshersnow​
8. How does the groupBy function in Spark SQL work?
   a. Selects single columns
   b. Groups data by one or more columns
   c. Joins two DataFrames
   d. Sorts data
   Answer: b
   Source:freshersnow​
9. What does the explain() method in Spark SQL provide?
   a. Execution plan for a DataFrame operation
   b. Schema of a DataFrame
   c. First few rows of data
   d. Metadata of the DataFrame
   Answer: a
   Source:freshersnow​
10. What is the purpose of the cache() function in Spark SQL?
    a. To persist DataFrame in memory for faster access
    b. To delete data from disk
    c. To aggregate data in SQL
    d. To filter data
    Answer: a
    Source:acte​
11. Which clause is used to filter records in SQL queries within Spark SQL?
    a. GROUP BY
    b. WHERE
    c. ORDER BY
    d. JOIN
    Answer: b
    Source:freshersnow​
12. Which of the following joins returns all rows from the left DataFrame and matching rows from the right DataFrame?
    a. Inner join
    b. Left outer join
    c. Right outer join
    d. Full outer join
    Answer: b
    Source:acte​
13. What is the default file format for saving tables in Spark SQL?
    a. CSV
    b. Parquet
    c. JSON
    d. ORC
    Answer: b
    Source:acte​
14. Which Spark SQL component allows running SQL queries programmatically?
    a. SQLContext
    b. HiveContext
    c. SparkSession
    d. All of the above
    Answer: d
    Source:freshersnow​
15. What is the main improvement of SparkSession over SQLContext?
    a. SparkSession combines SQLContext and HiveContext into a single object
    b. It provides support only for JSON files
    c. It enables streaming only
    d. It is deprecated and unused
    Answer: a
    Source:acte​
16. What type of operations can be performed using Spark SQL DataFrames?
    a. Transformation
    b. Action
    c. Both transformation and action
    d. Neither
    Answer: c
    Source:freshersnow​
17. In Spark SQL, what does the select() method do?
    a. Selects columns from a DataFrame
    b. Filters rows
    c. Joins two DataFrames
    d. Aggregates data
    Answer: a
    Source:freshersnow​
18. What is the function of the show() method in Spark SQL?
    a. Displays the content of a DataFrame in tabular form
    b. Saves data to disk
    c. Executes SQL query
    d. Returns the schema of the DataFrame
    Answer: a
    Source:freshersnow​
19. Which of the following functions transforms string data in Spark SQL?
    a. split()
    b. substring()
    c. trim()
    d. All of the above
    Answer: d
    Source:freshersnow​
20. Which Spark SQL method is used to join two DataFrames?
    a. merge()
    b. join()
    c. combine()
    d. union()
    Answer: b
    Source:freshersnow​
21. What does the distinct() method do in Spark SQL?
    a. Removes duplicate rows from a DataFrame
    b. Aggregates data
    c. Filters rows
    d. Adds columns
    Answer: a
    Source:freshersnow​
22. Which file formats does Spark SQL support natively?
    a. Parquet, ORC, JSON, CSV
    b. XML and TXT only
    c. Only SQL databases
    d. None
    Answer: a
    Source:acte​
23. What is the use of the union() method in Spark SQL?
    a. Combine rows of two DataFrames having the same schema
    b. Join data based on keys
    c. Filter data
    d. Aggregate columns
    Answer: a
    Source:freshersnow​
24. What does the describe() method provide in Spark SQL?
    a. Basic statistics (mean, count, stddev) of numerical columns
    b. Schema of the DataFrame
    c. Execution plan
    d. First 10 rows
    Answer: a
    Source:freshersnow​
25. What is an advantage of using Spark SQL over traditional SQL?
    a. Can handle big data in a distributed manner
    b. Executes only on a single machine
    c. Supports only batch processing
    d. Limited to CSV files
    Answer: a
    Source:freshersnow​
26. Which Spark class is entry point for programming Spark with DataFrames and SQL?
    a. SparkConf
    b. SparkContext
    c. SparkSession
    d. SQLContext
    Answer: c
    Source:acte​
27. What is the Cartesian product of two tables in Spark SQL called?
    a. Cross join
    b. Inner join
    c. Right join
    d. Full outer join
    Answer: a
    Source:acte​
28. Which method helps to register a DataFrame as a temporary table in Spark SQL?
    a. createOrReplaceTempView()
    b. sql()
    c. createGlobalTempView()
    d. registerTable()
    Answer: a
    Source:freshersnow​
29. What does the filter() method do in Spark SQL?
    a. Selects columns
    b. Filters rows based on a condition
    c. Adds new columns
    d. Groups data
    Answer: b
    Source:freshersnow​
30. What is the output type of the sql() method in Spark SQL?
    a. DataFrame
    b. RDD
    c. Dataset
    d. Table
    Answer: a
    Source:freshersnow​
31. What does the cache() method do for a DataFrame in Spark?
    a. Persists data in memory for faster access
    b. Removes data from disk
    c. Deletes the DataFrame
    d. Filters cached rows
    Answer: a
    Source:acte​
32. How can you perform aggregation like count, sum in Spark SQL?
    a. Using built-in aggregation functions like count(), sum()
    b. Using custom UDFs only
    c. Using third-party libraries only
    d. Not possible
    Answer: a
    Source:freshersnow​
33. What is the effect of the orderBy() method in Spark SQL?
    a. Sorts DataFrame rows by specified columns
    b. Filters rows
    c. Joins DataFrames
    d. Adds columns
    Answer: a
    Source:freshersnow​
34. Which of these is NOT a valid Spark SQL DataFrame operation?
    a. select()
    b. where()
    c. mutate()
    d. groupBy()
    Answer: c
    Source:freshersnow​
35. What is Spark SQL’s Catalyst optimizer used for?
    a. Query optimization and physical plan generation
    b. Data storage
    c. Streaming processing
    d. Machine learning model training
    Answer: a
    Source:acte​
36. Which Spark SQL function returns the first n rows of a DataFrame?
    a. head()
    b. take()
    c. show()
    d. limit()
    Answer: d
    Source:freshersnow​
37. How is data loading performed in Spark SQL?
    a. Using read.format().load()
    b. Using execute()
    c. Using fetch()
    d. Using loadData() only
    Answer: a
    Source:freshersnow​
38. What will df.selectExpr(“salary * 2”) do in Spark SQL?
    a. Multiply the salary column values by 2 and select it
    b. Filter rows with salary greater than 2
    c. Create a new DataFrame with salary doubled
    d. Both a and c
    Answer: d
    Source:freshersnow​
39. What is a Dataset in Spark SQL?
    a. Extension of DataFrame with type safety
    b. Collection of RDDs only
    c. A machine learning library
    d. Data collection not supported by Spark SQL
    Answer: a
    Source:acte​
40. How do you convert a DataFrame to an RDD?
    a. use df.rdd
    b. use df.toRDD()
    c. use convert()
    d. use df.toRDD
    Answer: a
    Source:freshersnow​
41. What is Spark SQL’s role in a Big Data ecosystem?
    a. Provides SQL interface for querying under big data scenarios
    b. Replaces Hadoop
    c. Only for batch data processing
    d. Used exclusively for UI visualization
    Answer: a
    Source:freshersnow​
42. Which function can be used for null handling in Spark SQL?
    a. coalesce()
    b. nullif()
    c. isnan()
    d. Both a and c
    Answer: d
    Source:freshersnow​
43. What is the default join type in Spark SQL when join type is not specified?
    a. Inner join
    b. Left outer join
    c. Full outer join
    d. Cross join
    Answer: a
    Source:acte​
44. What SQL keyword is used to remove duplicate records in a query?
    a. UNIQUE
    b. DISTINCT
    c. DIFFERENT
    d. REMOVE
    Answer: b
    Source:gyansetu​
45. What is the purpose of temporary views in Spark SQL?
    a. To register a DataFrame as a table for SQL queries
    b. To permanently store tables on disk
    c. To create machine learning models
    d. To filter data
    Answer: a
    Source:freshersnow​
46. In Spark SQL, which function is used to concatenate strings?
    a. concat()
    b. combine()
    c. merge()
    d. joinStrings()
    Answer: a
    Source:freshersnow​
47. What happens if you perform an action on a cached DataFrame?
    a. The cached data is reused, improving performance
    b. Data is recalculated from scratch
    c. Data is deleted from memory
    d. No difference from non-cached DataFrame
    Answer: a
    Source:freshersnow​
48. What method is used to write a DataFrame to a file in Spark SQL?
    a. write.format().save()
    b. saveData()
    c. export()
    d. output()
    Answer: a
    Source:freshersnow​
49. Spark SQL supports which of the following schema types?
    a. StructType
    b. ArrayType
    c. MapType
    d. All of the above
    Answer: d
    Source:freshersnow​
50. Which Spark SQL functions can be used to filter rows based on conditions?
    a. filter()
    b. where()
    c. select()
    d. All of the above
    Answer: d
    Source:freshersnow​

1. https://www.freshersnow.com/spark-sql-mcqs-and-answers-with-explanation/
2. https://www.acte.in/spark-sql-interview-questions-and-answers
3. https://www.gyansetu.in/blog/sql-query-mcq-quiz-with-answers/
4. https://data-flair.training/blogs/apache-spark-multiple-choice-questions/
5. https://gtu-mcq.com/BE/Computer-Engineering/Semester-8/2180710/5178/MCQs?q=9aZHDjblmRk%3D
6. https://www.sanfoundry.com/hadoop-questions-answers-spark-hadoop-1/
7. https://data-flair.training/blogs/spark-quiz-questions-part-2/
8. https://bhaveshbhadricha4806.ongraphy.com/courses/Apache-Spark-MCQ-Practice-Test-useful-for-Certification-628c76cc0cf2358118cb9992
9. https://www.javaguides.net/2024/08/apache-spark-quiz-mcq.html
10. https://www.tutorialspoint.com/spark_sql/quiz_on_spark_introduction.htm
11. https://gtu-mcq.com/BE/Computer-Engineering/Semester-8/2180710/5178/MCQs?q=bDFvcmdllQA%3D
12. https://github.com/mohankrishna02/interview-scenerios-spark-sql
13. https://www.igmguru.com/blog/sql-mcqs
14. https://www.includehelp.com/mcq/pyspark-mcqs.aspx