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The Databricks Certified Professional Data Engineer exam is designed to test the skills and knowledge of individuals who work with big data and cloud computing technologies. This exam is primarily focused on assessing candidates’ abilities to design, build, and maintain big data solutions using the Apache Spark platform. This certification is highly valued in the industry and can help individuals demonstrate their proficiency in managing big data projects.
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Databricks Certified Professional Data Engineer Exam Sample Questions (Q53-Q58):
NEW QUESTION # 53
How are Delt tables stored?
- A. A Directory where parquet data files are stored, a sub directory _delta_log where meta data, and the transaction log is stored as JSON files.
- B. Data is stored in Data plane and Metadata and delta log are stored in control pane
- C. A Directory where parquet data files are stored in Data plane, a sub directory _delta_log where meta data, history and log is stored in control pane.
- D. A Directory where parquet data files are stored, all of the meta data is stored in memory
- E. A Directory where parquet data files are stored, all of the metadata is stored in parquet files
Answer: A
Explanation:
Explanation
The answer is A Directory where parquet data files are stored, a sub directory _delta_log where meta data, and the transaction log is stored as JSON files.
Timeline Description automatically generated
NEW QUESTION # 54
You noticed a colleague is manually copying the data to the backup folder prior to running an up-date command, incase if the update command did not provide the expected outcome so he can use the backup copy to replace table, which Delta Lake feature would you recommend simplifying the process?
- A. Cloud object storage retains previous version of the file
- B. Use time travel feature to refer old data instead of manually copying
- C. Use SHADOW copy of the table as preferred backup choice
- D. Use DEEP CLONE to clone the table prior to update to make a backup copy
- E. Cloud object storage automatically backups the data
Answer: B
Explanation:
Explanation
The answer is, Use time travel feature to refer old data instead of manually copying.
https://databricks.com/blog/2019/02/04/introducing-delta-time-travel-for-large-scale-data-lakes.html
1.SELECT count(*) FROM my_table TIMESTAMP AS OF "2019-01-01"
2.SELECT count(*) FROM my_table TIMESTAMP AS OF date_sub(current_date(), 1)
3.SELECT count(*) FROM my_table TIMESTAMP AS OF "2019-01-01 01:30:00.000"
NEW QUESTION # 55
What is the output of the below function when executed with input parameters 1, 3 :
1.def check_input(x,y):
2. if x < y:
3. x= x+1
4. if x<y:
5. x= x+1
6. if x <y:
7. x = x+1
8. return x
check_input(1,3)
- A. 0
- B. 3
(Correct) - C. 1
- D. 2
- E. 3
Answer: B
NEW QUESTION # 56
Which of the statement is correct about the cluster pools?
- A. Cluster pools allow you to perform load balancing
- B. Cluster pools allow you to create a cluster
- C. Cluster pools allow you to save time when starting a new cluster
- D. Cluster pools allow you to have all the nodes in the cluster from single physical server rack
- E. Cluster pools are used to share resources among multiple teams
Answer: C
NEW QUESTION # 57
You are noticing job cluster is taking 6 to 8 mins to start which is delaying your job to finish on time, what steps you can take to reduce the amount of time cluster startup time
- A. Use SQL endpoints to reduce the startup time
- B. Use cluster pools to reduce the startup time of the jobs
- C. Reduce the size of the cluster, smaller the cluster size shorter it takes to start the clus-ter
- D. Use All purpose cluster instead to reduce cluster start up time
- E. Setup a second job ahead of first job to start the cluster, so the cluster is ready with re-sources when the job starts
Answer: B
Explanation:
Explanation
The answer is, Use cluster pools to reduce the startup time of the jobs.
Cluster pools allow us to reserve VM's ahead of time, when a new job cluster is created VM are grabbed from the pool. Note: when the VM's are waiting to be used by the cluster only cost incurred is Azure. Databricks run time cost is only billed once VM is allocated to a cluster.
Here is a demo of how to setup and follow some best practices,
https://www.youtube.com/watch?v=FVtITxOabxg&ab_channel=DatabricksAcademy
NEW QUESTION # 58
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