2025 Databricks-Certified-Data-Engineer-Associate dumps review - Professional Quiz Study Materials [Q30-Q52]

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2025 Databricks-Certified-Data-Engineer-Associate dumps review – Professional Quiz Study Materials

Databricks-Certified-Data-Engineer-Associate Test Prep Training Practice Exam Questions Practice Tests

The GAQM Databricks-Certified-Data-Engineer-Associate certification is an essential credential for individuals and organizations working with big data using Databricks. It validates the candidate’s skills and knowledge of data engineering concepts and their ability to design and implement data pipelines using Databricks. Databricks Certified Data Engineer Associate Exam certification is globally recognized and highly respected in the industry, making it a valuable asset for anyone looking to advance their career in the field of data engineering.

Databricks Certified Data Engineer Associate certification exam is ideal for data engineers who work with Databricks on a regular basis and want to enhance their skills and knowledge. Databricks-Certified-Data-Engineer-Associate exam is also suitable for data engineers who are looking to validate their expertise in Databricks and demonstrate their ability to work with the platform. By earning this certification, data engineers can showcase their proficiency in Databricks and increase their career opportunities in the field of data engineering.

NO.30 Which of the following data lakehouse features results in improved data quality over a traditional data lake?

A data lakehouse provides storage solutions for structured and unstructured data.

A data lakehouse supports ACID-compliant transactions.

A data lakehouse allows the use of SQL queries to examine data.

A data lakehouse stores data in open formats.

A data lakehouse enables machine learning and artificial Intelligence workloads.

NO.31 A data engineer needs to create a table in Databricks using data from a CSV file at location /path/to/csv.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?

None of these lines of code are needed to successfully complete the task

USING CSV

FROM CSV

USING DELTA

FROM “path/to/csv”

NO.32 A data engineer needs to create a table in Databricks using data from a CSV file at location /path/to/csv.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?

None of these lines of code are needed to successfully complete the task

USING CSV

FROM CSV

USING DELTA

FROM “path/to/csv”

NO.33 Which of the following describes a scenario in which a data engineer will want to use a single-node cluster?

When they are working interactively with a small amount of data

When they are running automated reports to be refreshed as quickly as possible

When they are working with SQL within Databricks SQL

When they are concerned about the ability to automatically scale with larger data

When they are manually running reports with a large amount of data

NO.34 A data engineer has been using a Databricks SQL dashboard to monitor the cleanliness of the input data to a data analytics dashboard for a retail use case. The job has a Databricks SQL query that returns the number of store-level records where sales is equal to zero. The data engineer wants their entire team to be notified via a messaging webhook whenever this value is greater than 0.
Which of the following approaches can the data engineer use to notify their entire team via a messaging webhook whenever the number of stores with $0 in sales is greater than zero?

They can set up an Alert with a custom template.

They can set up an Alert with a new email alert destination.

They can set up an Alert with one-time notifications.

They can set up an Alert with a new webhook alert destination.

They can set up an Alert without notifications.

NO.35 A data engineer is maintaining a data pipeline. Upon data ingestion, the data engineer notices that the source data is starting to have a lower level of quality. The data engineer would like to automate the process of monitoring the quality level.
Which of the following tools can the data engineer use to solve this problem?

Unity Catalog

Data Explorer

Auto Loader

Delta Lake

Delta Live Tables

NO.36 Which query is performing a streaming hop from raw data to a Bronze table?

NO.37 Which of the following data lakehouse features results in improved data quality over a traditional data lake?

A data lakehouse provides storage solutions for structured and unstructured data.

A data lakehouse supports ACID-compliant transactions.

A data lakehouse allows the use of SQL queries to examine data.

A data lakehouse stores data in open formats.

A data lakehouse enables machine learning and artificial Intelligence workloads.

NO.38 Which tool is used by Auto Loader to process data incrementally?

Spark Structured Streaming

Unity Catalog

Checkpointing

Databricks SQL

NO.39 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?

if day_of_week = 1 and review_period:

if day_of_week = 1 and review_period = “True”:

if day_of_week == 1 and review_period == “True”:

if day_of_week == 1 and review_period:

if day_of_week = 1 & review_period: = “True”:

NO.40 A data engineer is using the following code block as part of a batch ingestion pipeline to read from a composable table:

Which of the following changes needs to be made so this code block will work when the transactions table is a stream source?

Replace predict with a stream-friendly prediction function

Replace schema(schema) with option (“maxFilesPerTrigger”, 1)

Replace “transactions” with the path to the location of the Delta table

Replace format(“delta”) with format(“stream”)

Replace spark.read with spark.readStream

NO.41 A single Job runs two notebooks as two separate tasks. A data engineer has noticed that one of the notebooks is running slowly in the Job’s current run. The data engineer asks a tech lead for help in identifying why this might be the case.
Which of the following approaches can the tech lead use to identify why the notebook is running slowly as part of the Job?

They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.

They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.

They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.

There is no way to determine why a Job task is running slowly.

They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.

NO.42 A data engineer has a Job with multiple tasks that runs nightly. Each of the tasks runs slowly because the clusters take a long time to start.
Which of the following actions can the data engineer perform to improve the start up time for the clusters used for the Job?

They can use endpoints available in Databricks SQL

They can use jobs clusters instead of all-purpose clusters

They can configure the clusters to be single-node

They can use clusters that are from a cluster pool

They can configure the clusters to autoscale for larger data sizes

NO.43 A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.
Which of the following tools can the data engineer use to solve this problem?

Unity Catalog

Delta Lake

Databricks SQL

Data Explorer

Auto Loader

NO.44 A data engineer needs to apply custom logic to identify employees with more than 5 years of experience in array column employees in table stores. The custom logic should create a new column exp_employees that is an array of all of the employees with more than 5 years of experience for each row. In order to apply this custom logic at scale, the data engineer wants to use the FILTER higher-order function.
Which of the following code blocks successfully completes this task?

Option A

Option B

Option C

Option D

Option E

NO.45 Which of the following is hosted completely in the control plane of the classic Databricks architecture?

Worker node

JDBC data source

Databricks web application

Databricks Filesystem

Driver node

NO.46 Which of the following describes the relationship between Gold tables and Silver tables?

Gold tables are more likely to contain aggregations than Silver tables.

Gold tables are more likely to contain valuable data than Silver tables.

Gold tables are more likely to contain a less refined view of data than Silver tables.

Gold tables are more likely to contain more data than Silver tables.

Gold tables are more likely to contain truthful data than Silver tables.

NO.47 Which of the following describes the relationship between Bronze tables and raw data?

Bronze tables contain less data than raw data files.

Bronze tables contain more truthful data than raw data.

Bronze tables contain aggregates while raw data is unaggregated.

Bronze tables contain a less refined view of data than raw data.

Bronze tables contain raw data with a schema applied.

NO.48 A data engineer is maintaining a data pipeline. Upon data ingestion, the data engineer notices that the source data is starting to have a lower level of quality. The data engineer would like to automate the process of monitoring the quality level.
Which of the following tools can the data engineer use to solve this problem?

Unity Catalog

Data Explorer

Delta Lake

Delta Live Tables

Auto Loader

NO.49 A data engineer has joined an existing project and they see the following query in the project repository:
CREATE STREAMING LIVE TABLE loyal_customers AS
SELECT customer_id –
FROM STREAM(LIVE.customers)
WHERE loyalty_level = ‘high’;
Which of the following describes why the STREAM function is included in the query?

The STREAM function is not needed and will cause an error.

The table being created is a live table.

The customers table is a streaming live table.

The customers table is a reference to a Structured Streaming query on a PySpark DataFrame.

The data in the customers table has been updated since its last run.

NO.50 A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?
Which of the following code blocks can the data engineer use to complete this task?

NO.51 A data engineer wants to schedule their Databricks SQL dashboard to refresh every hour, but they only want the associated SQL endpoint to be running when it is necessary. The dashboard has multiple queries on multiple datasets associated with it. The data that feeds the dashboard is automatically processed using a Databricks Job.
Which of the following approaches can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

They can turn on the Auto Stop feature for the SQL endpoint.

They can ensure the dashboard’s SQL endpoint is not one of the included query’s SQL endpoint.

They can reduce the cluster size of the SQL endpoint.

They can ensure the dashboard’s SQL endpoint matches each of the queries’ SQL endpoints.

They can set up the dashboard’s SQL endpoint to be serverless.

NO.52 A data engineer wants to create a new table containing the names of customers who live in France.
They have written the following command:
CREATE TABLE customersInFrance
_____ AS
SELECT id,
firstName,
lastName
FROM customerLocations
WHERE country = ‘FRANCE’;
A senior data engineer mentions that it is organization policy to include a table property indicating that the new table includes personally identifiable information (Pll).
Which line of code fills in the above blank to successfully complete the task?

COMMENT “Contains PIT

511

“COMMENT PII”

TBLPROPERTIES PII