Cloudera Exam CCA175 Topic 1 Question 62 Discussion

Actual exam question for Cloudera's CCA175 exam

Question #: 62
Topic #: 1

[All CCA175 Questions]

Problem Scenario 91 : You have been given data in json format as below.

{"first_name":"Ankit", "last_name":"Jain"}

{"first_name":"Amir", "last_name":"Khan"}

{"first_name":"Rajesh", "last_name":"Khanna"}

{"first_name":"Priynka", "last_name":"Chopra"}

{"first_name":"Kareena", "last_name":"Kapoor"}

{"first_name":"Lokesh", "last_name":"Yadav"}

Do the following activity

1. create employee.json tile locally.

2. Load this tile on hdfs

3. Register this data as a temp table in Spark using Python.

4. Write select query and print this data.

5. Now save back this selected data in json format.

ASolution :
Step 1 : create employee.json tile locally.
vi employee.json (press insert) past the content.
Step 2 : Upload this tile to hdfs, default location hadoop fs -put employee.json
val employee = sqlContext.read.json('/user/cloudera/employee.json')
employee.write.parquet('employee. parquet')
val parq_data = sqlContext.read.parquet('employee.parquet')
import org.apache.spark.sql.SaveMode prdDF.write..format('orc').saveAsTable('product ore table'}
//Change the codec.
sqlContext.setConf('spark.sql.parquet.compression.codec','snappy')
employee.write.mode(SaveMode.Overwrite).parquet('employee.parquet')

BSolution :
Step 1 : create employee.json tile locally.
vi employee.json (press insert) past the content.
Step 2 : Upload this tile to hdfs, default location hadoop fs -put employee.json
val employee = sqlContext.read.json('/user/cloudera/employee.json')
employee.write.parquet('employee. parquet')
val parq_data = sqlContext.read.parquet('employee.parquet')
parq_data.registerTempTable('employee')
val allemployee = sqlContext.sql('SELeCT' FROM employee')
all_employee.show()
import org.apache.spark.sql.SaveMode prdDF.write..format('orc').saveAsTable('product ore table'}
//Change the codec.
sqlContext.setConf('spark.sql.parquet.compression.codec','snappy')
employee.write.mode(SaveMode.Overwrite).parquet('employee.parquet')

Show Suggested Answer

Suggested Answer: B

by Chauncey at May 29, 2024, 09:03 AM

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Margarita

7 months ago

If I had a nickel for every time I had to work with JSON, I'd have enough to buy a new hard drive to store all these data files.

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7 months ago

Hmm, wonder if there's a way to make this even more efficient. Maybe use a different file format?

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Melina

6 months ago

User 2

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Hyun

7 months ago

User 1

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Gwen

7 months ago

Love the JSON data format! Makes it easy to work with.

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7 months ago

User 1

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