Month End Special Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: get65

Page: 1 / 7

Databricks Certification Databricks Certified Associate Developer for Apache Spark 3.0 Exam

Databricks Certified Associate Developer for Apache Spark 3.0 Exam

Last Update Jan 24, 2025
Total Questions : 180

To help you prepare for the Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Databricks exam, we are offering free Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Databricks exam questions. All you need to do is sign up, provide your details, and prepare with the free Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 practice questions. Once you have done that, you will have access to the entire pool of Databricks Certified Associate Developer for Apache Spark 3.0 Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 test questions which will help you better prepare for the exam. Additionally, you can also find a range of Databricks Certified Associate Developer for Apache Spark 3.0 Exam resources online to help you better understand the topics covered on the exam, such as Databricks Certified Associate Developer for Apache Spark 3.0 Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 video tutorials, blogs, study guides, and more. Additionally, you can also practice with realistic Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 exam simulations and get feedback on your progress. Finally, you can also share your progress with friends and family and get encouragement and support from them.

Questions 2

Which of the following code blocks returns a copy of DataFrame transactionsDf that only includes columns transactionId, storeId, productId and f?

Sample of DataFrame transactionsDf:

1.+-------------+---------+-----+-------+---------+----+

2.|transactionId|predError|value|storeId|productId| f|

3.+-------------+---------+-----+-------+---------+----+

4.| 1| 3| 4| 25| 1|null|

5.| 2| 6| 7| 2| 2|null|

6.| 3| 3| null| 25| 3|null|

7.+-------------+---------+-----+-------+---------+----+

Options:

A.  

transactionsDf.drop(col("value"), col("predError"))

B.  

transactionsDf.drop("predError", "value")

C.  

transactionsDf.drop(value, predError)

D.  

transactionsDf.drop(["predError", "value"])

E.  

transactionsDf.drop([col("predError"), col("value")])

Discussion 0
Questions 3

The code block shown below should add a column itemNameBetweenSeparators to DataFrame itemsDf. The column should contain arrays of maximum 4 strings. The arrays should be composed of

the values in column itemsDf which are separated at - or whitespace characters. Choose the answer that correctly fills the blanks in the code block to accomplish this.

Sample of DataFrame itemsDf:

1.+------+----------------------------------+-------------------+

2.|itemId|itemName |supplier |

3.+------+----------------------------------+-------------------+

4.|1 |Thick Coat for Walking in the Snow|Sports Company Inc.|

5.|2 |Elegant Outdoors Summer Dress |YetiX |

6.|3 |Outdoors Backpack |Sports Company Inc.|

7.+------+----------------------------------+-------------------+

Code block:

itemsDf.__1__(__2__, __3__(__4__, "[\s\-]", __5__))

Options:

A.  

1. withColumn

2. "itemNameBetweenSeparators"

3. split

4. "itemName"

5. 4

(Correct)

B.  

1. withColumnRenamed

2. "itemNameBetweenSeparators"

3. split

4. "itemName"

5. 4

C.  

1. withColumnRenamed

2. "itemName"

3. split

4. "itemNameBetweenSeparators"

5. 4

D.  

1. withColumn

2. "itemNameBetweenSeparators"

3. split

4. "itemName"

5. 5

E.  

1. withColumn

2. itemNameBetweenSeparators

3. str_split

4. "itemName"

5. 5

Discussion 0
Questions 4

Which of the following code blocks uses a schema fileSchema to read a parquet file at location filePath into a DataFrame?

Options:

A.  

spark.read.schema(fileSchema).format("parquet").load(filePath)

B.  

spark.read.schema("fileSchema").format("parquet").load(filePath)

C.  

spark.read().schema(fileSchema).parquet(filePath)

D.  

spark.read().schema(fileSchema).format(parquet).load(filePath)

E.  

spark.read.schema(fileSchema).open(filePath)

Discussion 0
Kylo
What makes Cramkey Dumps so reliable? Please guide.
Sami Aug 29, 2024
Well, for starters, they have a team of experts who are constantly updating their material to reflect the latest changes in the industry. Plus, they have a huge database of questions and answers, which makes it easy to study and prepare for the exam.
Billy
It was like deja vu! I was confident going into the exam because I had already seen those questions before.
Vincent Aug 15, 2024
Definitely. And the best part is, I passed! I feel like all that hard work and preparation paid off. Cramkey is the best resource for all students!!!
Stefan
Thank you so much Cramkey I passed my exam today due to your highly up to date dumps.
Ocean Aug 31, 2024
Agreeā€¦.Cramkey Dumps are constantly updated based on changes in the exams. They also have a team of experts who regularly review the materials to ensure their accuracy and relevance. This way, you can be sure you're studying the most up-to-date information available.
Aliza
I used these dumps for my recent certification exam and I can say with certainty that they're absolutely valid dumps. The questions were very similar to what came up in the actual exam.
Jakub Sep 22, 2024
That's great to hear. I am going to try them soon.
Questions 5

Which of the following code blocks selects all rows from DataFrame transactionsDf in which column productId is zero or smaller or equal to 3?

Options:

A.  

transactionsDf.filter(productId==3 or productId<1)

B.  

transactionsDf.filter((col("productId")==3) or (col("productId")<1))

C.  

transactionsDf.filter(col("productId")==3 | col("productId")<1)

D.  

transactionsDf.where("productId"=3).or("productId"<1))

E.  

transactionsDf.filter((col("productId")==3) | (col("productId")<1))

Discussion 0

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0
PDF

$36.75  $104.99

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Testing Engine

$43.75  $124.99

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 PDF + Testing Engine

$57.75  $164.99