DATABRICKS CERTIFIED ASSOCIATE DEVELOPER FOR APACHE SPARK 3.5 - PYTHON PASS CERT & ASSOCIATE-DEVELOPER-APACHE-SPARK-3.5 ACTUAL QUESTIONS & DATABRICKS CERTIFIED ASSOCIATE DEVELOPER FOR APACHE SPARK 3.5 - PYTHON TRAINING VCE

Databricks Certified Associate Developer for Apache Spark 3.5 - Python Pass Cert & Associate-Developer-Apache-Spark-3.5 Actual Questions & Databricks Certified Associate Developer for Apache Spark 3.5 - Python Training Vce

Databricks Certified Associate Developer for Apache Spark 3.5 - Python Pass Cert & Associate-Developer-Apache-Spark-3.5 Actual Questions & Databricks Certified Associate Developer for Apache Spark 3.5 - Python Training Vce

Blog Article

Tags: Updated Associate-Developer-Apache-Spark-3.5 Test Cram, Associate-Developer-Apache-Spark-3.5 Reliable Exam Voucher, Associate-Developer-Apache-Spark-3.5 Related Content, Latest Braindumps Associate-Developer-Apache-Spark-3.5 Ppt, Associate-Developer-Apache-Spark-3.5 Exam Reference

You can instantly access the practice material after purchasing it from Databricks Certified Associate Developer for Apache Spark 3.5 - Python (Associate-Developer-Apache-Spark-3.5), so you don't have to wait to prepare for the Databricks Certified Associate Developer for Apache Spark 3.5 - Python (Associate-Developer-Apache-Spark-3.5) examination. A free demo of the study material is also available at Pass4suresVCE. The 24/7 support system is available for the customers, so they can contact the team whenever they face any issue, and it will provide them with the solution.

We provide free PDF demo of our Associate-Developer-Apache-Spark-3.5 practice questions download before purchasing our complete version. After purchasing we provide one year free updates and one year customer service on our Associate-Developer-Apache-Spark-3.5 learning materials. Also we promise "Pass Guaranteed" with our Associate-Developer-Apache-Spark-3.5 training braindump. Our aim is to make our pass rate high up to 100% and the ratio of customer satisfaction is also 100%. If you are looking for valid Associate-Developer-Apache-Spark-3.5 preparation materials, don't hesitate, go ahead to choose us.

>> Updated Associate-Developer-Apache-Spark-3.5 Test Cram <<

Associate-Developer-Apache-Spark-3.5 Reliable Exam Voucher & Associate-Developer-Apache-Spark-3.5 Related Content

If you find the most suitable Associate-Developer-Apache-Spark-3.5 study materials on our website, just add the Associate-Developer-Apache-Spark-3.5 actual exam to your shopping cart and pay money for our products. Our online workers will quickly deal with your orders. We will follow the sequence of customers’ payment to send you our Associate-Developer-Apache-Spark-3.5 Guide questions to study right away with 5 to 10 minutes. It is quite easy and convenient for you to download our Associate-Developer-Apache-Spark-3.5 practice engine as well.

Databricks Certified Associate Developer for Apache Spark 3.5 - Python Sample Questions (Q69-Q74):

NEW QUESTION # 69
A data engineer wants to create a Streaming DataFrame that reads from a Kafka topic called feed.

Which code fragment should be inserted in line 5 to meet the requirement?
Code context:
spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers","host1:port1,host2:port2")
.[LINE5]
.load()
Options:

  • A. .option("kafka.topic", "feed")
  • B. .option("topic", "feed")
  • C. .option("subscribe", "feed")
  • D. .option("subscribe.topic", "feed")

Answer: C

Explanation:
Comprehensive and Detailed Explanation:
To read from a specific Kafka topic using Structured Streaming, the correct syntax is:
python
CopyEdit
option("subscribe","feed")
This is explicitly defined in the Spark documentation:
"subscribe - The Kafka topic to subscribe to. Only one topic can be specified for this option." (Source:Apache Spark Structured Streaming + Kafka Integration Guide)
B)."subscribe.topic" is invalid.
C)."kafka.topic" is not a recognized option.
D)."topic" is not valid for Kafka source in Spark.


NEW QUESTION # 70
A developer needs to produce a Python dictionary using data stored in a small Parquet table, which looks like this:

The resulting Python dictionary must contain a mapping of region-> region id containing the smallest 3 region_idvalues.
Which code fragment meets the requirements?
A)

B)

C)

D)

The resulting Python dictionary must contain a mapping ofregion -> region_idfor the smallest
3region_idvalues.
Which code fragment meets the requirements?

  • A. regions = dict(
    regions_df
    .select('region_id', 'region')
    .limit(3)
    .collect()
    )
  • B. regions = dict(
    regions_df
    .select('region_id', 'region')
    .sort('region_id')
    .take(3)
    )
  • C. regions = dict(
    regions_df
    .select('region', 'region_id')
    .sort('region_id')
    .take(3)
    )
  • D. regions = dict(
    regions_df
    .select('region', 'region_id')
    .sort(desc('region_id'))
    .take(3)
    )

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The question requires creating a dictionary where keys areregionvalues and values are the correspondingregion_idintegers. Furthermore, it asks to retrieve only the smallest 3region_idvalues.
Key observations:
select('region', 'region_id')puts the column order as expected bydict()- where the first column becomes the key and the second the value.
sort('region_id')ensures sorting in ascending order so the smallest IDs are first.
take(3)retrieves exactly 3 rows.
Wrapping the result indict(...)correctly builds the required Python dictionary:{ 'AFRICA': 0, 'AMERICA': 1,
'ASIA': 2 }.
Incorrect options:
Option B flips the order toregion_idfirst, resulting in a dictionary with integer keys - not what's asked.
Option C uses.limit(3)without sorting, which leads to non-deterministic rows based on partition layout.
Option D sorts in descending order, giving the largest rather than smallestregion_ids.
Hence, Option A meets all the requirements precisely.


NEW QUESTION # 71
A data engineer is streaming data from Kafka and requires:
Minimal latency
Exactly-once processing guarantees
Which trigger mode should be used?

  • A. .trigger(processingTime='1 second')
  • B. .trigger(availableNow=True)
  • C. .trigger(continuous='1 second')
  • D. .trigger(continuous=True)

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
Exactly-once guarantees in Spark Structured Streaming require micro-batch mode (default), not continuous mode.
Continuous mode (.trigger(continuous=...)) only supports at-least-once semantics and lacks full fault- tolerance.
trigger(availableNow=True)is a batch-style trigger, not suited for low-latency streaming.
So:
Option A uses micro-batching with a tight trigger interval # minimal latency + exactly-once guarantee.
Final Answer: A


NEW QUESTION # 72
A data analyst builds a Spark application to analyze finance data and performs the following operations:filter, select,groupBy, andcoalesce.
Which operation results in a shuffle?

  • A. groupBy
  • B. coalesce
  • C. select
  • D. filter

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
ThegroupBy()operation causes a shuffle because it requires all values for a specific key to be brought together, which may involve moving data across partitions.
In contrast:
filter()andselect()are narrow transformations and do not cause shuffles.
coalesce()tries to reduce the number of partitions and avoids shuffling by moving data to fewer partitions without a full shuffle (unlikerepartition()).
Reference:Apache Spark - Understanding Shuffle


NEW QUESTION # 73
A Spark application suffers from too many small tasks due to excessive partitioning. How can this be fixed without a full shuffle?
Options:

  • A. Use the distinct() transformation to combine similar partitions
  • B. Use the sortBy() transformation to reorganize the data
  • C. Use the coalesce() transformation with a lower number of partitions
  • D. Use the repartition() transformation with a lower number of partitions

Answer: C

Explanation:
coalesce(n) reduces the number of partitions without triggering a full shuffle, unlike repartition().
This is ideal when reducing partition count, especially during write operations.
Reference:Spark API - coalesce


NEW QUESTION # 74
......

We will refund your money if you fail to pass the exam after buying Associate-Developer-Apache-Spark-3.5 study materials. If you choose us, we will ensure you pass the exam. And we are pass guaranteed and money back guaranteed. Besides, Associate-Developer-Apache-Spark-3.5 study materials of us will help you pass the exam just one time. With professional experts to compile the Associate-Developer-Apache-Spark-3.5 Exam Dumps, they are high- quality. And we also have online and offline chat service stuff, who possess the professional knowledge about the Associate-Developer-Apache-Spark-3.5 study materials, and if you have any questions, just contact us, we will give you reply as quickly as possible.

Associate-Developer-Apache-Spark-3.5 Reliable Exam Voucher: https://www.pass4suresvce.com/Associate-Developer-Apache-Spark-3.5-pass4sure-vce-dumps.html

The correct answer of the Associate-Developer-Apache-Spark-3.5 exam torrent is below every question, which helps you check your answers, Our company has built about 11 years, we has established good relationship with Databricks Associate-Developer-Apache-Spark-3.5 Reliable Exam Voucher, If you are used to studying on paper, Associate-Developer-Apache-Spark-3.5 study material is available for you, Our Associate-Developer-Apache-Spark-3.5 exam cram will help you clear exams at first attempt and save a lot of time for you.

In his free time, Chris makes a pest of himself Associate-Developer-Apache-Spark-3.5 on Microsoft forums and mailing lists, The categories also provide context for the searcher, The correct answer of the Associate-Developer-Apache-Spark-3.5 Exam Torrent is below every question, which helps you check your answers.

Save Time And Use Databricks Associate-Developer-Apache-Spark-3.5 PDF Dumps Format For Qucik Preparation

Our company has built about 11 years, we has established good relationship with Databricks, If you are used to studying on paper, Associate-Developer-Apache-Spark-3.5 study material is available for you.

Our Associate-Developer-Apache-Spark-3.5 exam cram will help you clear exams at first attempt and save a lot of time for you, We are still moderately developing our latest Associate-Developer-Apache-Spark-3.5 exam torrent all the time to help you cope with difficulties.

Report this page