InterviewSolution
This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
In case of External Tables, data needs to remain in the underlying location even after the user drops the table. |
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Answer» In case of EXTERNAL Tables, data NEEDS to remain in the underlying location even after the USER drops the table. |
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| 2. |
Spark SQL brings native support for SQL to Spark. |
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Answer» Spark SQL brings NATIVE support for SQL to Spark. |
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| 3. |
Which of the following is not a function of Spark Context in Apache Spark? |
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Answer» Which of the following is not a function of Spark Context in APACHE Spark? |
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| 4. |
DataFrame is data organized into ______ columns. |
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Answer» DATAFRAME is data organized into ______ columns. Please choose the correct OPTION from below LIST (1)NAMED (2)random Answer:-(1)named |
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| 5. |
Which among the following is an example of Transformation? |
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Answer» Which among the FOLLOWING is an example of Transformation? |
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| 6. |
SparkContext uses Py4J to launch a JVM and create a __________ |
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Answer» SparkContext uses Py4J to launch a JVM and create a __________ |
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| 7. |
If the schema of the table does not match with the data types present in the file containing the table, then Hive ________ |
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Answer» If the schema of the table does not match with the DATA TYPES present in the file containing the table, then Hive ________ |
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| 8. |
In how many ways RDD can be created? |
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Answer» In how many ways RDD can be CREATED? |
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| 9. |
Which among the following is an example of Action? |
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Answer» Which among the following is an EXAMPLE of Action? |
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| 10. |
Dataframes are immutable in nature implies it is fault tolerant and highly available data structure. |
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Answer» Dataframes are immutable in nature implies it is fault TOLERANT and highly AVAILABLE data structure. |
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| 11. |
Spark was first coded as a C project. |
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Answer» Spark was FIRST coded as a C project. |
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| 12. |
Which of the following provide the Spark Core s fast scheduling capability to perform streaming analytics. |
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Answer» Which of the following provide the SPARK Core s FAST scheduling capability to perform streaming analytics. |
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| 13. |
On can invoke PySpark shell by running the _________ command in Shell. |
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Answer» On can invoke PySpark shell by RUNNING the _________ command in Shell. |
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| 14. |
Which of the following can be used to launch Spark jobs inside MapReduce ? |
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Answer» Which of the following can be used to launch Spark jobs INSIDE MAPREDUCE ? |
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| 15. |
External tables are used to store data outside the ____ |
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Answer» External tables are used to STORE data outside the ____ |
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| 16. |
Spark SQL does not provide support for both reading and writing Parquet files. |
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Answer» Spark SQL does not provide support for both reading and writing Parquet files. |
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| 17. |
Parquet stores nested data structures in a flat ________ format. |
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Answer» Parquet stores NESTED data structures in a flat ________ format. |
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| 18. |
Which among the following programming languages does Spark support? |
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Answer» Which AMONG the FOLLOWING programming languages does Spark SUPPORT? |
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| 19. |
According to Spark advocates, how faster can Apache Spark potentially run batch-processing programs when processed in memory than MapReduce can? |
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Answer» According to Spark ADVOCATES, how faster can Apache Spark potentially run batch-processing programs when processed in memory than MapReduce can? |
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| 20. |
Spark SQL can read and write data from Hive Tables. |
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Answer» SPARK SQL can read and write DATA from Hive Tables. Please choose the correct option from below LIST (1)True (2)False Answer:-(1)True |
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| 21. |
Can we edit the data of RDD, for example, the case conversion? |
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Answer» Can we edit the DATA of RDD, for example, the CASE conversion? |
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| 22. |
For any Spark functionality, the entry point is SparkContext. |
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Answer» For any SPARK functionality, the entry point is SparkContext. |
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| 23. |
We cannot pass SQL queries directly to any DataFrame. |
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Answer» We cannot pass SQL QUERIES directly to any DataFrame. |
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| 24. |
What are the features of Spark RDD? |
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Answer» What are the features of Spark RDD? |
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| 25. |
How many Spark Context can be active per JVM? |
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Answer» How many Spark Context can be active per JVM? |
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| 26. |
How many tasks does Spark run on each partition? |
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Answer» How many tasks does SPARK run on each partition? |
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| 27. |
Which of the following is true for RDD? |
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Answer» Which of the following is true for RDD? |
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| 28. |
Can you combine the libraries of Apache Spark into the same Application, for example,MLlib, GraphX, SQL and DataFrames e |
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Answer» Can you COMBINE the libraries of Apache Spark into the same APPLICATION, for example,MLlib, GraphX, SQL and DataFrames etc. |
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| 29. |
Which of the following is not a transformation? |
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Answer» Which of the following is not a transformation? |
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| 30. |
You can connect R program to a Spark cluster from |
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Answer» You can CONNECT R program to a Spark cluster from |
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