LATEST DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE STUDY NOTES | NEW DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE EXAM PRACTICE

Latest Databricks-Certified-Data-Engineer-Associate Study Notes | New Databricks-Certified-Data-Engineer-Associate Exam Practice

Latest Databricks-Certified-Data-Engineer-Associate Study Notes | New Databricks-Certified-Data-Engineer-Associate Exam Practice

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Welcome to 2Pass4sure-the online website for providing you with the latest and valid Databricks study material. Here you will find the updated study dumps and training pdf for your Databricks-Certified-Data-Engineer-Associate certification. Our Databricks-Certified-Data-Engineer-Associate practice torrent offers you the realistic and accurate simulations of the real test. The Databricks-Certified-Data-Engineer-Associate Questions & answers are so valid and updated with detail explanations which make you easy to understand and master. The aim of our Databricks-Certified-Data-Engineer-Associate practice torrent is to help you successfully pass.

To become a Databricks-Certified-Data-Engineer-Associate, candidates must pass a rigorous exam that tests their understanding of Databricks and its various components. Databricks-Certified-Data-Engineer-Associate exam consists of multiple-choice questions and requires candidates to demonstrate their knowledge of data engineering best practices, data processing techniques, and machine learning algorithms. Successful candidates will receive a certification that recognizes their expertise in working with Databricks.

The Databricks Databricks-Certified-Data-Engineer-Associate Exam is conducted online and consists of 80 multiple-choice questions. The duration of the exam is 2 hours, and candidates must achieve a minimum score of 60% to pass. Databricks-Certified-Data-Engineer-Associate exam fee is $300, and candidates can schedule their exam at any time through the GAQM website. Databricks Certified Data Engineer Associate Exam certification is valid for three years and can be renewed by passing the latest version of the exam.

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Databricks Certified Data Engineer Associate certification provides candidates with a globally recognized credential that can help them stand out in a competitive job market. It is a valuable asset for professionals seeking career advancement opportunities in the data engineering field. Overall, the GAQM Databricks-Certified-Data-Engineer-Associate Certification Exam provides a comprehensive assessment of candidates' skills and knowledge in working with Databricks, making it an essential certification for data engineers, data architects, and developers.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q106-Q111):

NEW QUESTION # 106
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 autoscale their work as data size evolves
  • B. Both teams would reorganize to report to the same department
  • C. Both teams would be able to collaborate on projects in real-time
  • D. Both teams would use the same source of truth for their work
  • E. Both teams would respond more quickly to ad-hoc requests

Answer: D

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 # 107
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 without notifications.
  • B. They can set up an Alert with a custom template.
  • C. They can set up an Alert with a new webhook alert destination.
  • D. They can set up an Alert with a new email alert destination.
  • E. They can set up an Alert with one-time notifications.

Answer: C

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.
References: Databricks Documentation - Manage notification destinations, Databricks Documentation - Create alerts for Databricks SQL queries, Databricks Documentation - Configure alert conditions and messages.


NEW QUESTION # 108
A data engineer runs a statement every day to copy the previous day's sales into the table transactions. Each day's sales are in their own file in the location "/transactions/raw".
Today, the data engineer runs the following command to complete this task:

After running the command today, the data engineer notices that the number of records in table transactions has not changed.
Which of the following describes why the statement might not have copied any new records into the table?

  • A. The PARQUET file format does not support COPY INTO.
  • B. The COPY INTO statement requires the table to be refreshed to view the copied rows.
  • C. The previous day's file has already been copied into the table.
  • D. The format of the files to be copied were not included with the FORMAT_OPTIONS keyword.
  • E. The names of the files to be copied were not included with the FILES keyword.

Answer: C

Explanation:
The COPY INTO statement is an idempotent operation, which means that it will skip any files that have already been loaded into the target table1. This ensures that the data is not duplicated or corrupted by multiple attempts to load the same file. Therefore, if the data engineer runs the same command every day without specifying the names of the files to be copied with the FILES keyword or a glob pattern with the PATTERN keyword, the statement will only copy the first file that matches the source location and ignore the rest. To avoid this problem, the data engineer should either use the FILES or PATTERN keywords to filter the files to be copied based on the date or some other criteria, or delete the files from the source location after they are copied into the table2. References: 1: COPY INTO | Databricks on AWS 2: Get started using COPY INTO to load data | Databricks on AWS


NEW QUESTION # 109
A data engineer wants to create a new table containing the names of customers that live in France.
They have written the following command:

A senior data engineer mentions that it is organization policy to include a table property indicating that the new table includes personally identifiable information (PII).
Which of the following lines of code fills in the above blank to successfully complete the task?

  • A. COMMENT "Contains PII"
  • B. There is no way to indicate whether a table contains PII.
  • C. PII
  • D. TBLPROPERTIES PII
  • E. "COMMENT PII"

Answer: A

Explanation:
In Databricks, when creating a table, you can add a comment to columns or the entire table to provide more information about the data it contains. In this case, since it's organization policy toindicate that the new table includes personally identifiable information (PII), option D is correct. The line of code would be added after defining the table structure and before closing with a semicolon. References: Data Engineer Associate Exam Guide, CREATE TABLE USING (Databricks SQL)


NEW QUESTION # 110
Which of the following is hosted completely in the control plane of the classic Databricks architecture?

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

Answer: B

Explanation:
1: The Databricks web application is the user interface that allows you to create and manage workspaces, clusters, notebooks, jobs, and other resources. It is hosted completely in the control plane of the classic Databricks architecture, which includes the backend services that Databricks manages in your Databricks account. The other options are part of the compute plane, which is where your data is processed by compute resources such as clusters. The compute plane is in your own cloud account and network. Reference: Databricks architecture overview, Security and Trust Center


NEW QUESTION # 111
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