Infosys Certified Spark Developer
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Real Lex exam-pattern multiple-choice questions for the Infosys Certified Spark Developer certification. Each question includes the correct answer. The full question bank is available to Premium members.
- Question 1
Kell has a requirement to reuse an RDD in his coding logic.He decides to persist it in primary memory but however if the primary memory is full, He wants it to be stored in disk as well. Which of the given syntax/code can be used by her?
- ✓
rdd.persist(StorageLevel.MEMORY_ONLY)
Correct - B
rdd.persist(StorageLevel.MEMORY_AND_DISK)
- C
rdd.persist(StorageLevel.MEMORY_AND_DISKSER)
- D
rdd.save(StorageLevel.MEMORY_DISKMEMORY)
- ✓
- Question 2
James has a requirement not to use an RDD over and over again and need to persist it for batch operations for later purpose. What is the syntax/code shall be used by him?
- ✓
rdd.persist(StorageLevel.MEMORY_ONLY)
Correct - B
rdd.persist(StorageLevel.MEMORY_AND_DISK)
- C
rdd.persist(StorageLevel.MEMORY_AND_DISK_SER)
- D
rdd.save(StorageLevel.MEMORY_DISKMEMORY)
- ✓
- Question 3
Which of the following is TRUE about the below coding statement?
JavaRDD<String> lines = sc.textFile("data.txt");- ✓
The dataset is loaded in memory with lines as the pointer to the file
Correct - B
The dataset is not loaded in memory with lines as the pointer to the file
- C
The dataset is loaded in memory but lines is not the pointer to the file
- D
The dataset is loaded in disk with lines as the pointer to the file
- ✓
- Question 4
Mary works in an analytics project and would like to perform analysis using Spark core. She need to load the dataset(/salehdfs/sale.csv) in to the spark area and analyze it using Spark logic. Which of the below method will be used by her to load the file in to Spark RDD ?
- ✓
sc.textFile("/salehdfs/sale.csv");
Correct - B
sc.loadFile("/salehdfs/sale.csv");
- C
sc.load("/salehdfs/sale.csv");
- D
sc.save("/salehdfs/sale.csv");
- ✓
- Question 5
Hary wants to manually set the number of partitions to 100, while loading a dataset(/salehdfs/sale.tsv) in to an RDD. Which of the given options is the correct syntax to be used by Hary?
- ✓
sc.textFile("/salehdfs/sale.tsv",10)
Correct - B
sc.textFile(100,"/salehdfs/sale.tsv",10,10)
- C
sc.textFile("/salehdfs/sale.tsv",100)
- D
sc.textFile("/salehdfs/sale.tsv").setPartiton(100)
- ✓
- Question 6
Shane works in an analytics project and would like to perform analysis using Spark core. He need to load the dataset(/transacthdfs/transact.csv) in to the spark area and analyze it using Spark logic. Which below method is NOT RIGHT about loading a file in to Spark RDD ?
- ✓
sc.textFile("/salehdfs/sale.csv");
Correct - B
sc.loadFile("/salehdfs/sale.csv");
- C
sc.load("/salehdfs/sale.csv");
- D
sc.save("/salehdfs/sale.csv");
- ✓
- Question 7
Which of the below steps defines the Spark installation on a stand alone mode appropriately?
- ✓
1.Install Java mandatorily
Correct
2.Install Scala
3.Set the PATH variable and add bin path of scala and java to the existing PATH
4.Download and extract Spark tar file
5.Set the PATH variable and add bin path of spark to the existing PATH in bashrc file
6.Type in spark-shell to enter in to spark-shell for confirmation - B
1.Install Scala
2.Set the PATH variable and add bin path of scala and java to the existing PATH
3.Download and extract Spark tar file
4.Set the PATH variable and add bin path of spark to the existing PATH in bashrc file
5.Type in spark-shell to enter in to spark-shell for confirmation - C
1.Download and extract Spark tar file
2.Set the PATH variable and add bin path of spark to the existing PATH in bashrc file
3.Type in spark-shell to enter in to spark-shell for confirmation - D
Install Spark exe file and follow the wizard for installations and environment variable settings
- ✓
- Question 8
Driver runs on which machine in Spark?
- ✓
Master
Correct - B
Slave
- C
Both
- D
None of the given options
- ✓
- Question 9
Which of the given methods are action methods in Spark?
- ✓reduce()Correct
- BreduceByKey()
- Cmap
- Dcollect()
- Question 10
Which below process runs on the worker nodes and executes the Spark tasks?
- ✓
Executor
Correct - B
Driver
- C
YARN
- D
Executor and Driver
- ✓
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