STUDY DATABRICKS DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-ENGINEER GROUP - RELIABLE DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-ENGINEER EXAM PRICE

Study Databricks Databricks-Certified-Professional-Data-Engineer Group - Reliable Databricks-Certified-Professional-Data-Engineer Exam Price

Study Databricks Databricks-Certified-Professional-Data-Engineer Group - Reliable Databricks-Certified-Professional-Data-Engineer Exam Price

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In today's world, the Databricks-Certified-Professional-Data-Engineer certification exam has become increasingly popular, providing professionals with the opportunity to upskill and stay competitive in the tech industry. At 2Pass4sure, we understand the importance of obtaining the Databricks Databricks-Certified-Professional-Data-Engineer Certification in the Databricks sector, where technological advancements constantly evolving.

Databricks Certified Professional Data Engineer Exam Sample Questions (Q41-Q46):

NEW QUESTION # 41
The Databricks CLI is use to trigger a run of an existing job by passing the job_id parameter. The response that the job run request has been submitted successfully includes a filed run_id.
Which statement describes what the number alongside this field represents?

  • A. The job_id is returned in this field.
  • B. The number of times the job definition has been run in the workspace.
  • C. The globally unique ID of the newly triggered run.
  • D. The job_id and number of times the job has been are concatenated and returned.

Answer: C

Explanation:
When triggering a job run using the Databricks CLI, the run_id field in the response represents a globally unique identifier for that particular run of the job. This run_id is distinct from the job_id. While the job_id identifies the job definition and is constant across all runs of that job, the run_id is unique to each execution and is used to track and query the status of that specific job run within the Databricks environment. This distinction allows users to manage and reference individual executions of a job directly.


NEW QUESTION # 42
The Databricks workspace administrator has configured interactive clusters for each of the data engineering groups. To control costs, clusters are set to terminate after 30 minutes of inactivity. Each user should be able to execute workloads against their assigned clusters at any time of the day.
Assuming users have been added to a workspace but not granted any permissions, which of the following describes the minimal permissions a user would need to start and attach to an already configured cluster.

  • A. Cluster creation allowed. "Can Restart" privileges on the required cluster
  • B. Workspace Admin privileges, cluster creation allowed. "Can Attach To" privileges on the required cluster
  • C. Cluster creation allowed. "Can Attach To" privileges on the required cluster
  • D. "Can Manage" privileges on the required cluster
  • E. "Can Restart" privileges on the required cluster

Answer: C

Explanation:
Explanation
This is the minimal permission a user would need to start and attach to an already configured cluster. Cluster creation allowed means that the user can create new clusters or start existing clusters that are stopped. "Can Attach To" privileges on the required cluster means that the user can attach notebooks or libraries to that cluster and run commands on it. Verified References: Databricks Certified Data Engineer Professional, under
"Security & Governance" section; Databricks Documentation, under "Cluster permissions" section.


NEW QUESTION # 43
A data engineer is testing a collection of mathematical functions, one of which calculates the area under a curve as described by another function.

Which kind of the test does the above line exemplify?

  • A. Unit
  • B. Manual
  • C. Integration
  • D. functional

Answer: A

Explanation:
A unit test is designed to verify the correctness of a small, isolated piece of code, typically a single function.
Testing a mathematical function that calculates the area under acurve is an example of a unit test because it is testing a specific, individual function to ensure it operates as expected.
References:
* Software Testing Fundamentals: Unit Testing


NEW QUESTION # 44
The data engineer is using Spark's MEMORY_ONLY storage level.
Which indicators should the data engineer look for in the spark UI's Storage tab to signal that a cached table is not performing optimally?

  • A. Size on Disk is> 0
  • B. The RDD Block Name included the '' annotation signaling failure to cache
  • C. On Heap Memory Usage is within 75% of off Heap Memory usage
  • D. The number of Cached Partitions> the number of Spark Partitions

Answer: B

Explanation:
In the Spark UI's Storage tab, an indicator that a cached table is not performing optimally would be the presence of the _disk annotation in the RDD Block Name. This annotation indicates that some partitions of the cached data have been spilled to disk because there wasn't enough memory to hold them. This is suboptimal because accessing data from disk is much slower than from memory. The goal of caching is to keep data in memory for fast access, and a spill to disk means that this goal is not fully achieved.


NEW QUESTION # 45
Kevin is the owner of both the sales table and regional_sales_vw view which uses the sales table as the underlying source for the data, and Kevin is looking to grant select privilege on the view regional_sales_vw to one of newly joined team members Steven. Which of the following is a true statement?

  • A. Kevin can grant access to the view, because he is the owner of the view and the under-lying table
  • B. Steve will also require SELECT access on the underlying table
  • C. Kevin although is the owner but does not have ALL PRIVILEGES permission
  • D. Kevin can not grant access to Steven since he does not have security admin privilege
  • E. Kevin can not grant access to Steven since he does have workspace admin privilege

Answer: A

Explanation:
Explanation
The answer is, Kevin can grant access to the view, because he is the owner of the view and the un-derlying table, Ownership determines whether or not you can grant privileges on derived objects to other users, a user who creates a schema, table, view, or function becomes its owner. The owner is granted all privileges and can grant privileges to other users


NEW QUESTION # 46
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