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The GAQM Databricks-Certified-Data-Engineer-Associate Exam is a highly respected certification that validates a candidate's expertise in using Databricks to build and maintain data pipelines. It is an excellent way for data engineers to demonstrate their skills and knowledge in this critical area of data management. By earning this certification, data engineers can enhance their careers and help their organizations to unlock the full potential of their data.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q87-Q92):

NEW QUESTION # 87
Which of the following describes a scenario in which a data engineer will want to use a single-node cluster?

A. When they are working with SQL within Databricks SQL
B. When they are manually running reports with a large amount of data
C. When they are running automated reports to be refreshed as quickly as possible
D. When they are concerned about the ability to automatically scale with larger data
E. When they are working interactively with a small amount of data

Answer: E

Explanation:
Explanation
A Single Node cluster is a cluster consisting of an Apache Spark driver and no Spark workers. A Single Node cluster supports Spark jobs and all Spark data sources, including Delta Lake. A Standard cluster requires a minimum of one Spark worker to run Spark jobs.

NEW QUESTION # 88
Which of the following describes the type of workloads that are always compatible with Auto Loader?

A. Streaming workloads
B. Serverless workloads
C. Batch workloads
D. Dashboard workloads
E. Machine learning workloads

Answer: A

Explanation:
Auto Loader is a Structured Streaming source that incrementally and efficiently processes new data files as they arrive in cloud storage. It supports both Python and SQL in Delta Live Tables, which are ideal for building streaming data pipelines. Auto Loader can handle near real-time ingestion of millions of files per hour and provide exactly-once guarantees when writing data into Delta Lake. Auto Loader is not designed for dashboard, machine learning, serverless, or batch workloads, which have different requirements and characteristics. References: What is Auto Loader?, Delta Live Tables

NEW QUESTION # 89
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The code block used by the data engineer is below:

If the data engineer only wants the query to process all of the available data in as many batches as required, which of the following lines of code should the data engineer use to fill in the blank?

A. trigger(availableNow=True)
B. processingTime(1)
C. trigger(parallelBatch=True)
D. trigger(processingTime="once")
E. trigger(continuous="once")

Answer: A

Explanation:
https://spark.apache.org/docs/latest/api/python/reference/pyspark.ss/api/pyspark.sql.streaming.DataStreamWriter

NEW QUESTION # 90
Which file format is used for storing Delta Lake Table?

A. SV
B. JSON
C. Parquet
D. Delta

Answer: C

Explanation:
Delta Lake tables use the Parquet format as their underlying storage format. Delta Lake enhances Parquet by adding a transaction log that keeps track of all the operations performed on the table. This allows features like ACID transactions, scalable metadata handling, and schema enforcement, making it an ideal choice for big data processing and management in environments like Databricks.
Reference:
Databricks documentation on Delta Lake: Delta Lake Overview

NEW QUESTION # 91
A data engineer only wants to execute the final block of a Python program if the Python variable day_of_week is equal to 1 and the Python variable review_period is True.
Which of the following control flow statements should the data engineer use to begin this conditionally executed code block?

A. if day_of_week == 1 and review_period == "True":
B. if day_of_week == 1 and review_period:
C. if day_of_week = 1 and review_period = "True":
D. if day_of_week = 1 & review_period: = "True":
E. if day_of_week = 1 and review_period:

Answer: B

Explanation:
In Python, the == operator is used to compare the values of two variables, while the = operator is used to assign a value to a variable. Therefore, option A and E are incorrect, as they use the = operator for comparison.
Option B and C are also incorrect, as they compare the review_period variable to a string value "True", which is different from the boolean value True. Option D is the correct answer, as it uses the == operator to compare the day_of_week variable to the integer value 1, and the and operator to check if both conditions are true. If both conditions are true, then the final block of the Python program will be executed. References: [Python Operators], [Python If ... Else]

NEW QUESTION # 92
......

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