FreeQAs
 Request Exam  Contact
  • Home
  • View All Exams
  • New QA's
  • Upload
PRACTICE EXAMS:
  • Oracle
  • Fortinet
  • Juniper
  • Microsoft
  • Cisco
  • Citrix
  • CompTIA
  • VMware
  • ISC
  • SAP
  • EMC
  • PMI
  • HP
  • Salesforce
  • Other
  • Oracle
    Oracle
  • Fortinet
    Fortinet
  • Juniper
    Juniper
  • Microsoft
    Microsoft
  • Cisco
    Cisco
  • Citrix
    Citrix
  • CompTIA
    CompTIA
  • VMware
    VMware
  • ISC
    ISC
  • SAP
    SAP
  • EMC
    EMC
  • PMI
    PMI
  • HP
    HP
  • Salesforce
    Salesforce
  1. Home
  2. Databricks Certification
  3. Databricks-Certified-Professional-Data-Engineer Exam
  4. Databricks.Databricks-Certified-Professional-Data-Engineer.v2023-05-23.q104 Dumps
  • ««
  • «
  • …
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • …
  • »
  • »»
Download Now

Question 41

Which of the following SQL statement can be used to query a table by eliminating duplicate rows from the query results?

Correct Answer: A
Explanation
The answer is SELECT DISTINCT * FROM table_name
insert code

Question 42

Your colleague was walking you through how a job was setup, but you noticed a warning message that said,
"Jobs running on all-purpose cluster are considered all purpose compute", the colleague was not sure why he was getting the warning message, how do you best explain this warning mes-sage?

Correct Answer: D
Explanation
Warning message:
Graphical user interface, text, application, email Description automatically generated

Pricing for All-purpose clusters are more expensive than the job clusters AWS pricing(Aug 15th 2022)Graphical user interface Description automatically generated

Bottom of Form
Top of Form
insert code

Question 43

How VACCUM and OPTIMIZE commands can be used to manage the DELTA lake?

Correct Answer: E
Explanation
VACCUM:
You can remove files no longer referenced by a Delta table and are older than the retention thresh-old by running the vacuum command on the table. vacuum is not triggered automatically. The de-fault retention threshold for the files is 7 days. To change this behavior, see Configure data reten-tion for time travel.
OPTIMIZE:
Using OPTIMIZE you can compact data files on Delta Lake, this can improve the speed of read queries on the table. Too many small files can significantly degrade the performance of the query.
insert code

Question 44

You are currently asked to work on building a data pipeline, you have noticed that you are currently working with a data source that has a lot of data quality issues and you need to monitor data quality and enforce it as part of the data ingestion process, which of the following tools can be used to address this problem?

Correct Answer: B
Explanation
The answer is, DELTA LIVE TABLES
Delta live tables expectations can be used to identify and quarantine bad data, all of the data quality metrics are stored in the event logs which can be used to later analyze and monitor.
DELTA LIVE Tables expectations
Below are three types of expectations, make sure to pay attention differences between these three.
Retain invalid records:
Use the expect operator when you want to keep records that violate the expectation. Records that violate the expectation are added to the target dataset along with valid records:
Python
[email protected]("valid timestamp", "col("timestamp") > '2012-01-01'")
SQL
1.CONSTRAINT valid_timestamp EXPECT (timestamp > '2012-01-01')
Drop invalid records:
Use the expect or drop operator to prevent the processing of invalid records. Records that violate the expectation are dropped from the target dataset:
Python
[email protected]_or_drop("valid_current_page", "current_page_id IS NOT NULL AND cur-rent_page_title IS NOT NULL") SQL
1.CONSTRAINT valid_current_page EXPECT (current_page_id IS NOT NULL and cur-rent_page_title IS NOT NULL) ON VIOLATION DROP ROW Fail on invalid records:
When invalid records are unacceptable, use the expect or fail operator to halt execution imme-diately when a record fails validation. If the operation is a table update, the system atomically rolls back the transaction:
Python
[email protected]_or_fail("valid_count", "count > 0")
SQL
1.CONSTRAINT valid_count EXPECT (count > 0) ON VIOLATION FAIL UPDATE
insert code

Question 45

What is the main difference between the below two commands?
1.INSERT OVERWRITE table_name
2.SELECT * FROM table
1.CREATE OR REPLACE TABLE table_name
2.AS SELECT * FROM table

Correct Answer: A
Explanation
The main difference between INSERT OVERWRITE and CREATE OR REPLACE TABLE(CRAS) is that CRAS can modify the schema of the table, i.e it can add new columns or change data types of existing columns. By default INSERT OVERWRITE only overwrites the data.
INSERT OVERWRITE can also be used to overwrite schema, only when
spark.databricks.delta.schema.autoMerge.enabled is set true if this option is not enabled and if there is a schema mismatch command will fail.
insert code
  • ««
  • «
  • …
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • …
  • »
  • »»
[×]

Download PDF File

Enter your email address to download Databricks.Databricks-Certified-Professional-Data-Engineer.v2023-05-23.q104 Dumps

Email:

FreeQAs

Our website provides the Largest and the most Latest vendors Certification Exam materials around the world.

Using dumps we provide to Pass the Exam, we has the Valid Dumps with passing guranteed just which you need.

  • DMCA
  • About
  • Contact Us
  • Privacy Policy
  • Terms & Conditions
©2026 FreeQAs

www.freeqas.com materials do not contain actual questions and answers from Cisco's certification exams.