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Exam Certified Associate Developer for Apache Spark topic 1 question 84 discussion

Actual exam question from Databricks's Certified Associate Developer for Apache Spark
Question #: 84
Topic #: 1
[All Certified Associate Developer for Apache Spark Questions]

The code block shown below should use SQL to return a new DataFrame containing column storeId and column managerName from a table created from DataFrame storesDF. Choose the response that correctly fills in the numbered blanks within the code block to complete this task.

Code block:

__1__.__2__("stores")
__3__.__4__("SELECT storeId, managerName FROM stores")

  • A. 1. spark
    2. createOrReplaceTempView
    3. storesDF
    4. query
  • B. 1. spark
    2. createTable
    3. storesDF
    4. sql
  • C. 1. storesDF
    2. createOrReplaceTempView
    3. spark
    4. query
  • D. 1. spark
    2. createOrReplaceTempView
    3. storesDF
    4. sql
  • E. 1. storesDF
    2. createOrReplaceTempView
    3. spark
    4. sql
Show Suggested Answer Hide Answer
Suggested Answer: E 🗳️
by tangerine141 at Feb. 23, 2024, 3:23 a.m.

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PushpakKothekar
3 weeks, 4 days ago
Selected Answer: E
Answer is E instead D because "store" is created on dataframe = storeDF.
upvoted 1 times
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6546a53
8 months, 2 weeks ago
Selected Answer: E
It's E
upvoted 1 times
...
Samir_91
11 months ago
Selected Answer: E
It's E
upvoted 1 times
...
Sowwy1
1 year ago
It's E
upvoted 1 times
...
Sowwy1
1 year, 1 month ago
It's E. df = spark.createDataFrame([(2, "Alice"), (5, "Bob")], schema=["age", "name"]) df.createTempView("people") df2 = spark.sql("SELECT * FROM people")
upvoted 3 times
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tangerine141
1 year, 2 months ago
Selected Answer: D
spark.createOrReplaceTempView("stores") storesDF.sql("SELECT storeId, managerName FROM stores")
upvoted 1 times
Samir_91
11 months ago
spark.createOrReplaceTempView("stores") gives an error AttributeError: 'SparkSession' object has no attribute 'createOrReplaceTempView'
upvoted 1 times
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naman405verma
1 year, 2 months ago
no Bro https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.DataFrame.createTempView.html check this E is correct only
upvoted 2 times
...
...
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A (35%)
C (25%)
B (20%)
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