Free PDF Quiz 2025 Fantastic Databricks-Certified-Data-Engineer-Associate: Databricks Certified Data Engineer Associate Exam Practice Tests

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Preparing for the Databricks-Certified-Data-Engineer-Associate Exam requires a deep understanding of Databricks and its various components. Candidates should have experience with Spark SQL, Spark Streaming, and Spark MLlib, as well as a solid understanding of data modeling, data structures, and algorithms. They should also be familiar with common data storage and processing technologies, such as Hadoop, Kafka, and AWS S3.

Databricks Certified Data Engineer Associate certification is a highly sought-after certification in the data engineering industry. Databricks Certified Data Engineer Associate Exam certification demonstrates that a candidate has the knowledge and skills required to design and build data pipelines using Databricks. Databricks Certified Data Engineer Associate Exam certification is recognized globally and is highly valued by employers in various industries.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q14-Q19):

NEW QUESTION # 14
A new data engineering team has been assigned to work on a project. The team will need access to database customers in order to see what tables already exist. The team has its own group team.
Which of the following commands can be used to grant the necessary permission on the entire database to the new team?

A. GRANT CREATE ON DATABASE customers TO team;
B. GRANT USAGE ON DATABASE customers TO team;
C. GRANT VIEW ON CATALOG customers TO team;
D. GRANT USAGE ON CATALOG team TO customers;
E. GRANT CREATE ON DATABASE team TO customers;

Answer: B

NEW QUESTION # 15
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

Answer: A

NEW QUESTION # 16
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?

A. They can set up an Alert with a custom template.
B. They can set up an Alert with a new email alert destination.
C. They can set up an Alert without notifications.
D. They can set up an Alert with a new webhook alert destination.
E. They can set up an Alert with one-time notifications.

Answer: D

Explanation:
A webhook alert destination is a notification destination that allows Databricks to send HTTP POST requests to a third-party endpoint when an alert is triggered. This enables the data engineer to integrate Databricks alerts with their preferred messaging or collaboration platform, such as Slack, Microsoft Teams, or PagerDuty. To set up a webhook alert destination, the data engineer needs to create and configure a webhook connector in their messaging platform, and then add the webhook URL to the Databricks notification destination. After that, the data engineer can create an alert for their Databricks SQL query, and select the webhook alert destination as the notification destination. The alert can be configured with a custom condition, such as when the number of stores with $0 in sales is greater than zero, and a custom message template, such as "Alert: {number_of_stores} stores have $0 in sales". The alert can also be configured with a recurrence interval, such as every hour, to check the query result periodically. When the alert condition is met, the data engineer and their team will receive a notification via the messaging webhook, with the custom message and a link to the Databricks SQL query. The other options are either not suitable for sending notifications via a messaging webhook (A, B, E), or not suitable for sending recurring notifications . Reference: Databricks Documentation - Manage notification destinations, Databricks Documentation - Create alerts for Databricks SQL queries, Databricks Documentation - Configure alert conditions and messages.

NEW QUESTION # 17
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?

A. They can use endpoints available in Databricks SQL
B. They can use clusters that are from a cluster pool
C. They can configure the clusters to be single-node
D. They can configure the clusters to autoscale for larger data sizes
E. They can use jobs clusters instead of all-purpose clusters

Answer: B

Explanation:
Explanation
Cluster pools are a way to pre-provision clusters that are ready to use. This can reduce the start up time for clusters, as they do not have to be created from scratch. All-purpose clusters are not pre-provisioned, so they will take longer to start up. Jobs clusters are a type of cluster pool, but they are not the best option for this use case. Jobs clusters are designed for long-running jobs, and they can be more expensive than other types of cluster pools. Single-node clusters are the smallest type of cluster, and they will start up the fastest. However, they may not be powerful enough to run the Job's tasks. Autoscaling clusters can scale up or down based on demand. This can help to improve the start up time for clusters, as they will only be created when they are needed. However, autoscaling clusters can also be more expensive than other types of cluster pool
https://docs.databricks.com/en/clusters/pool-best-practices.html

NEW QUESTION # 18
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?

A. USING CSV
B. USING DELTA
C. None of these lines of code are needed to successfully complete the task
D. FROM CSV
E. FROM "path/to/csv"

Answer: E

Explanation:
A data lakehouse is a new paradigm that can be used to simplify and unify siloed data architectures that are specialized for specific use cases. A data lakehouse combines the best of both data lakes and data warehouses, providing a single platform that supports diverse data types, open standards, low-cost storage, high-performance queries, ACID transactions, schema enforcement, and governance. A data lakehouse enables data engineers to build reliable and scalable data pipelines that can serve various downstream applications and users, such as data science, machine learning, analytics, and reporting. A data lakehouse leverages the power of Delta Lake, a storage layer that brings reliability and performance to data lakes. Reference: What is a data lakehouse?, Delta Lake, Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics

NEW QUESTION # 19
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FREE PDF QUIZ 2025 FANTASTIC DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE: DATABRICKS CERTIFIED DATA ENGINEER ASSOCIATE EXAM PRACTICE TESTS

Free PDF Quiz 2025 Fantastic Databricks-Certified-Data-Engineer-Associate: Databricks Certified Data Engineer Associate Exam Practice Tests