A brief introduction to the course

For most users, access to the relevant qualifying examinations may be the first, so many of the course content related to qualifying examinations are complex and arcane. According to these ignorant beginners, the Databricks-Certified-Data-Engineer-Professional exam questions set up a series of basic course, by easy to read, with corresponding examples to explain at the same time, the Databricks Certified Data Engineer Professional Exam study question let the user to be able to find in real life and corresponds to the actual use of learned knowledge, deepened the understanding of the users and memory. Simple text messages, deserve to go up colorful stories and pictures beauty, make the Databricks-Certified-Data-Engineer-Professional test guide better meet the zero basis for beginners, let them in the relaxed happy atmosphere to learn more useful knowledge, more good combined with practical, so as to achieve the state of unity.

Our Databricks Certified Data Engineer Professional Exam study question has high quality. So there is all effective and central practice for you to prepare for your test. With our professional ability, we can accord to the necessary testing points to edit Databricks-Certified-Data-Engineer-Professional exam questions. It points to the exam heart to solve your difficulty. With a minimum number of questions and answers of Databricks-Certified-Data-Engineer-Professional test guide to the most important message, to make every user can easily efficient learning, not to increase their extra burden, finally to let the Databricks-Certified-Data-Engineer-Professional exam questions help users quickly to pass the exam.

DOWNLOAD DEMO

Concise contents

The Databricks-Certified-Data-Engineer-Professional exam questions by experts based on the calendar year of all kinds of exam after analysis, it is concluded that conforms to the exam thesis focus in the development trend, and summarize all kind of difficulties you will face and highlight the user review must master the knowledge content. And unlike other teaching platform, the Databricks Certified Data Engineer Professional Exam study question is outlined the main content of the calendar year examination questions didn't show in front of the user in the form of a long time, but as far as possible with extremely concise prominent text of Databricks-Certified-Data-Engineer-Professional test guide is accurate incisive expression of the proposition of this year's forecast trend, and through the simulation of topic design meticulously.

A true simulation environment

Because many users are first taking part in the exams, so for the exam and test time distribution of the above lack certain experience, and thus prone to the confusion in the examination place, time to grasp, eventually led to not finish the exam totally. In order to avoid the occurrence of this phenomenon, the Databricks Certified Data Engineer Professional Exam study question have corresponding products to each exam simulation test environment, users log on to their account on the platform, at the same time to choose what they want to attend the exam simulation questions, the Databricks-Certified-Data-Engineer-Professional exam questions are automatically for the user presents the same as the actual test environment simulation test system, the software built-in timer function can help users better control over time, so as to achieve the systematic, keep up, as well as to improve the user's speed to solve the problem from the side with our Databricks-Certified-Data-Engineer-Professional test guide.

Databricks Certified Data Engineer Professional Sample Questions:

1. The data engineering team has configured a Databricks SQL query and alert to monitor the values in a Delta Lake table. The recent_sensor_recordings table contains an identifying sensor_id alongside the timestamp and temperature for the most recent 5 minutes of recordings.
The below query is used to create the alert:

The query is set to refresh each minute and always completes in less than 10 seconds. The alert is set to trigger when mean (temperature) > 120. Notifications are triggered to be sent at most Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from every 1 minute.
If this alert raises notifications for 3 consecutive minutes and then stops, which statement must be true?

A) The total average temperature across all sensors exceeded 120 on three consecutive executions of the query
B) The maximum temperature recording for at least one sensor exceeded 120 on three consecutive executions of the query
C) The average temperature recordings for at least one sensor exceeded 120 on three consecutive executions of the query
D) The source query failed to update properly for three consecutive minutes and then restarted
E) The recent_sensor_recordingstable was unresponsive for three consecutive runs of the query

2. Which statement describes Delta Lake optimized writes?

A) Before a job cluster terminates, OPTIMIZE is executed on all tables modified during the most recent job.
B) Optimized writes logical partitions instead of directory partitions partition boundaries are only Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from represented in metadata fewer small files are written.
C) A shuffle occurs prior to writing to try to group data together resulting in fewer files instead of each executor writing multiple files based on directory partitions.
D) An asynchronous job runs after the write completes to detect if files could be further compacted; yes, an OPTIMIZE job is executed toward a default of 1 GB.

3. The business intelligence team has a dashboard configured to track various summary metrics for retail stories. This includes total sales for the previous day alongside totals and averages for a variety of time periods. The fields required to populate this dashboard have the following schema:

For Demand forecasting, the Lakehouse contains a validated table of all itemized sales updated incrementally in near real-time. This table named products_per_order, includes the following fields:

Because reporting on long-term sales trends is less volatile, analysts using the new dashboard only require data to be refreshed once daily. Because the dashboard will be queried interactively by many users throughout a normal business day, it should return results quickly and reduce total compute associated with each materialization.
Which solution meets the expectations of the end users while controlling and limiting possible costs?

A) Configure a webhook to execute an incremental read against products_per_order each time the dashboard is refreshed.
B) Populate the dashboard by configuring a nightly batch job to save the required to quickly update the dashboard with each query.
C) Use Structure Streaming to configure a live dashboard against the products_per_order table within a Databricks notebook.
D) Define a view against the products_per_order table and define the dashboard against this view.
E) Use the Delta Cache to persists the products_per_order table in memory to quickly the dashboard with each query.

4. A Databricks SQL dashboard has been configured to monitor the total number of records present in a collection of Delta Lake tables using the following query pattern:
SELECT COUNT (*) FROM table
Which of the following describes how results are generated each time the dashboard is updated?

A) The total count of rows will be returned from cached results unless REFRESH is run
B) The total count of rows is calculated by scanning all data files
C) The total count of records is calculated from the Hive metastore
D) The total count of records is calculated from the Delta transaction logs
E) The total count of records is calculated from the parquet file metadata

5. A Structured Streaming job deployed to production has been resulting in higher than expected cloud storage costs. At present, during normal execution, each microbatch of data is processed in less than 3s; at least 12 times per minute, a microbatch is processed that contains 0 records. The streaming write was configured using the default trigger settings. The production job is currently scheduled alongside many other Databricks jobs in a workspace with instance pools provisioned to reduce start-up time for jobs with batch execution.
Holding all other variables constant and assuming records need to be processed in less than 10 minutes, which adjustment will meet the requirement?

A) Set the trigger interval to 3 seconds; the default trigger interval is consuming too many records per batch, resulting in spill to disk that can increase volume costs.
B) Increase the number of shuffle partitions to maximize parallelism, since the trigger interval cannot be modified without modifying the checkpoint directory.
C) Set the trigger interval to 10 minutes; each batch calls APIs in the source storage account, so decreasing trigger frequency to maximum allowable threshold should minimize this cost.
D) Set the trigger interval to 500 milliseconds; setting a small but non-zero trigger interval ensures that the source is not queried too frequently.
E) Use the trigger once option and configure a Databricks job to execute the query every 10 minutes; this approach minimizes costs for both compute and storage.

Solutions: