Blog - atelearn.com

Rachel King Rachel King

0 Course Enrolled • 0 Course Completed

Biography

Pass Guaranteed Quiz 2025 Databricks-Certified-Data-Engineer-Associate: Professional Exam Databricks Certified Data Engineer Associate Exam Revision Plan

Preparation for the professional Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate) exam is no more difficult because experts have introduced the preparatory products. With PracticeMaterial products, you can pass the Databricks Databricks-Certified-Data-Engineer-Associate Exam on the first attempt. If you want a promotion or leave your current job, you should consider achieving a professional certification like Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate) exam.

You deserve this opportunity to win and try to make some difference in your life if you want to attend the Databricks-Certified-Data-Engineer-Associate exam and get the certification by the help of our Databricks-Certified-Data-Engineer-Associate practice braindumps. As we all know, all companies will pay more attention on the staffs who have more certifications which is a symbol of better understanding and efficiency on the job. Our Databricks-Certified-Data-Engineer-Associate Study Materials have the high pass rate as 98% to 100%, hope you can use it fully and pass the exam smoothly.

>> Exam Databricks-Certified-Data-Engineer-Associate Revision Plan <<

Authoritative Exam Databricks-Certified-Data-Engineer-Associate Revision Plan - Newest Source of Databricks-Certified-Data-Engineer-Associate Exam

Our Databricks-Certified-Data-Engineer-Associate exam questions have a very high hit rate, of course, will have a very high pass rate. Before you select a product, you must have made a comparison of your own pass rates. Our Databricks-Certified-Data-Engineer-Associate study materials must appear at the top of your list. And our Databricks-Certified-Data-Engineer-Associate learning quiz has a 99% pass rate. This is the result of our efforts and the best gift to the user. Our Databricks-Certified-Data-Engineer-Associate Study Materials can have such a high pass rate, and it is the result of step by step that all members uphold the concept of customer first. If you use a trial version of Databricks-Certified-Data-Engineer-Associate training prep, you will want to buy it!

Databricks Certified Data Engineer Associate Exam is ideal for data engineers, data analysts, data scientists, and other professionals who are interested in building and maintaining data pipelines using Databricks. By achieving this certification, candidates can demonstrate their expertise in working with Databricks and their ability to build and maintain scalable data pipelines. Databricks Certified Data Engineer Associate Exam certification can also help professionals advance their careers and open up new job opportunities in the field of data engineering.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q45-Q50):

NEW QUESTION # 45
Which of the following SQL keywords can be used to convert a table from a long format to a wide format?

A. TRANSFORM
B. CONVERT
C. PIVOT
D. WHERE
E. SUM

Answer: C

Explanation:
The SQL keyword that can be used to convert a table from a long format to a wide format is PIVOT. The PIVOT clause is used to rotate the rows of a table into columns of a new table1. The PIVOT clause can aggregate the values of a column based on the distinct values of another column, and use those values as the column names of the new table1. The PIVOT clause can be useful for transforming data from a long format, where each row represents an observation with multiple attributes, to a wide format, where each row represents an observation with a single attribute and multiple values2. For example, the PIVOT clause can be used to convert a table that contains the sales of different products by different regions into a table that contains the sales of each product by each region as separate columns1.
The other options are not suitable for converting a table from a long format to a wide format. CONVERT is a function that can be used to change the data type of an expression3. WHERE is a clause that can be used to filter the rows of a table based on a condition4. TRANSFORM is a keyword that can be used to apply a user-defined function to a group of rows in a table5. SUM is a function that can be used to calculate the total of a numeric column.
References:
* 1: PIVOT | Databricks on AWS
* 2: Reshaping Data - Long vs Wide Format | Databricks on AWS
* 3: CONVERT | Databricks on AWS
* 4: WHERE | Databricks on AWS
* 5: TRANSFORM | Databricks on AWS
* : [SUM | Databricks on AWS]

NEW QUESTION # 46
Which of the following is hosted completely in the control plane of the classic Databricks architecture?

A. Databricks Filesystem
B. JDBC data source
C. Databricks web application
D. Driver node
E. Worker node

Answer: C

Explanation:
Explanation
In the classic Databricks architecture, the control plane includes components like the Databricks web application, the Databricks REST API, and the Databricks Workspace. These components are responsible for managing and controlling the Databricks environment, including cluster provisioning, notebook management, access control, and job scheduling. The other options, such as worker nodes, JDBC data sources, Databricks Filesystem (DBFS), and driver nodes, are typically part of the data plane or the execution environment, which is separate from the control plane. Worker nodes are responsible for executing tasks and computations, JDBC data sources are used to connect to external databases, DBFS is a distributed file system for data storage, and driver nodes are responsible for coordinating the execution of Spark jobs.

NEW QUESTION # 47
A data organization leader is upset about the data analysis team's reports being different from the data engineering team's reports. The leader believes the siloed nature of their organization's data engineering and data analysis architectures is to blame.
Which of the following describes how a data lakehouse could alleviate this issue?

A. Both teams would use the same source of truth for their work
B. Both teams would respond more quickly to ad-hoc requests
C. Both teams would be able to collaborate on projects in real-time
D. Both teams would reorganize to report to the same department
E. Both teams would autoscale their work as data size evolves

Answer: A

Explanation:
A data lakehouse is a data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data12. By using a data lakehouse, both the data analysis and data engineering teams can access the same data sources and formats, ensuring data consistency and quality across their reports. A data lakehouse also supports schema enforcement and evolution, data validation, and time travel to old table versions, which can help resolve data conflicts and errors1. Reference: 1: What is a Data Lakehouse? - Databricks 2: What is a data lakehouse? | IBM

NEW QUESTION # 48
A data engineer has left the organization. The data team needs to transfer ownership of the data engineer's Delta tables to a new data engineer. The new data engineer is the lead engineer on the data team.
Assuming the original data engineer no longer has access, which of the following individuals must be the one to transfer ownership of the Delta tables in Data Explorer?

A. This transfer is not possible
B. Workspace administrator
C. Original data engineer
D. New lead data engineer
E. Databricks account representative

Answer: D

NEW QUESTION # 49
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?

A. Option B
B. Option A
C. Option C
D. Option E
E. Option D

Answer: B

Explanation:
Option A is the correct answer because it uses the FILTER higher-order function correctly to filter out employees with more than 5 years of experience from the array column "employees". It applies a lambda function i -> i.years_exp > 5 that checks if the years of experience of each employee in the array is greater than 5. If this condition is met, the employee is included in the new array column "exp_employees".
References: The use of higher-order functions like FILTER can be referenced from Databricks documentation on Higher-Order Functions.

NEW QUESTION # 50
......

We can assure you that you will get the latest version of our Databricks-Certified-Data-Engineer-Associate training materials for free from our company in the whole year after payment. For we promise to give all of our customers one year free updates of our Databricks-Certified-Data-Engineer-Associate exam questions and we update our Databricks-Certified-Data-Engineer-Associate Study Guide fast and constantly. Do not miss the opportunity to buy the best Databricks-Certified-Data-Engineer-Associate preparation questions in the international market which will also help you to advance with the times.

Databricks-Certified-Data-Engineer-Associate Real Sheets: https://www.practicematerial.com/Databricks-Certified-Data-Engineer-Associate-exam-materials.html

Rachel King Rachel King

Biography

Quick Links

Resources

Support