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NEW QUESTION 28
A data analyst has provided a data engineering team with the following Spark SQL query:
1.SELECT district,
2.avg(sales)
3.FROM store_sales_20220101
4.GROUP BY district;
The data analyst would like the data engineering team to run this query every day. The date at the end of the
table name (20220101) should automatically be replaced with the current date each time the query is run.
Which of the following approaches could be used by the data engineering team to efficiently auto-mate this
process?

• A. They could pass the table into PySpark and develop a robustly tested module on the existing query
• B. They could manually replace the date within the table name with the current day's date
• C. They could wrap the query using PySpark and use Python's string variable system to automatically
  update the table name
• D. They could request that the data analyst rewrites the query to be run less frequently
• E. They could replace the string-formatted date in the table with a timestamp-formatted date

Answer: C

NEW QUESTION 29
A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also
used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The
data engineer needs to identify which files are new since the previous run in the pipeline, and set up the
pipeline to only ingest those new files with each run.
Which of the following tools can the data engineer use to solve this problem?

• A. Delta Lake
• B. Auto Loader
• C. Data Explorer
• D. Databricks SQL
• E. Unity Catalog

Answer: B

NEW QUESTION 30
A data engineer has set up a notebook to automatically process using a Job. The data engineer's manager wants
to version control the schedule due to its complexity.
Which of the following approaches can the data engineer use to obtain a version-controllable con-figuration of
the Job's schedule?

• A. They can download the XML description of the Job from the Job's page
• B. They can submit the Job once on a Job cluster
• C. They can link the Job to notebooks that are a part of a Databricks Repo
• D. They can download the JSON description of the Job from the Job's page
• E. They can submit the Job once on an all-purpose cluster

Answer: D

NEW QUESTION 31
Two junior data engineers are authoring separate parts of a single data pipeline notebook. They are working on
separate Git branches so they can pair program on the same notebook simultaneously. A senior data engineer
experienced in Databricks suggests there is a better alternative for this type of collaboration.
Which of the following supports the senior data engineer's claim?

• A. Databricks Notebooks support automatic change-tracking and versioning
• B. Databricks Notebooks support the creation of interactive data visualizations
• C. Databricks Notebooks support the use of multiple languages in the same notebook
• D. Databricks Notebooks support commenting and notification comments
• E. Databricks Notebooks support real-time co-authoring on a single notebook

Answer: E

NEW QUESTION 32
A denote the event 'student is female' and let B denote the event 'student is French'. In a class of 100 students
suppose 60 are French, and suppose that 10 of the French students are females. Find the probability that if I
pick a French student, it will be a girl, that is, find P(A|B).

• A. 1/3
• B. 2/3
• C. 2/6
• D. 1/6

Answer: D

Explanation:
Explanation
Since 10 out of 100 students are both French and female, then
P(AandB)=10100
Also. 60 out of the 100 students are French, so
P(B)=60100
So the required probability is:
P(A|B)=P(AandB)P(B)=10/10060/100=16

NEW QUESTION 33
......