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Databricks Certified Professional Data Engineer Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
The view updates represents an incremental batch of all newly ingested data to be inserted or updated in the customers table.
The following logic is used to process these records.
Which statement describes this implementation?

A. The customers table is implemented as a Type 3 table; old values are maintained as a new column alongside the current value.
B. The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.
C. The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.
D. The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.
E. The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.

Answer: A

Explanation:
The logic uses the MERGE INTO command to merge new records from the view updates into the table customers. The MERGE INTO command takes two arguments: a target table and a source table or view. The command also specifies a condition to match records between the target and the source, and a set of actions to perform when there is a match or not. In this case, the condition is to match records by customer_id, which is the primary key of the customers table. The actions are to update the existing record in the target with the new values from the source, and set the current_flag to false to indicate that the record is no longer current; and to insert a new record in the target with the new values from the source, and set the current_flag to true to indicate that the record is current. This means that old values are maintained but marked as no longer current and new values are inserted, which is the definition of a Type 2 table. Verified References: [Databricks Certified Data Engineer Professional], under "Delta Lake" section; Databricks Documentation, under "Merge Into (Delta Lake on Databricks)" section.

NEW QUESTION # 13
In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?

A. Discovery
B. Model Building
C. Communicate Results
D. Data Preparation

Answer: D

NEW QUESTION # 14
You are looking to process the data based on two variables, one to check if the department is supply chain and second to check if process flag is set to True

A. if department == "supply chain" & process == TRUE:
B. if department == "supply chain" & if process == TRUE:
C. if department == "supply chain" and process:
D. if department == "supply chain" && process:
E. if department = "supply chain" & process:

Answer: C

NEW QUESTION # 15
Which of the following technologies can be used to identify key areas of text when parsing Spark Driver log4j output?

A. pyspsark.ml.feature
B. C++
C. Regex
D. Julia
E. Scala Datasets

Answer: C

Explanation:
Explanation
Regex, or regular expressions, are a powerful way of matching patterns in text. They can be used to identify key areas of text when parsing Spark Driver log4j output, such as the log level, the timestamp, the thread name, the class name, the method name, and the message. Regex can be applied in various languages and frameworks, such as Scala, Python, Java, Spark SQL, and Databricks notebooks. References:
https://docs.databricks.com/notebooks/notebooks-use.html#use-regular-expressions
https://docs.databricks.com/spark/latest/spark-sql/udf-scala.html#using-regular-expressions-in-udfs
https://docs.databricks.com/spark/latest/sparkr/functions/regexp_extract.html
https://docs.databricks.com/spark/latest/sparkr/functions/regexp_replace.html

NEW QUESTION # 16
Which of the following is correct for the global temporary view?

A. global temporary views can be accessed across many clusters
B. global temporary views can be still accessed even if the cluster is restarted
C. global temporary views cannot be accessed once the notebook is detached and attached
D. global temporary views can be still accessed even if the notebook is detached and at-tached
E. global temporary views are created in a database called temp database

Answer: D

Explanation:
Explanation
The answer is global temporary views can be still accessed even if the notebook is detached and attached There are two types of temporary views that can be created Local and Global
* A local temporary view is only available with a spark session, so another notebook in the same cluster can not access it. if a notebook is detached and reattached local temporary view is lost.
* A global temporary view is available to all the notebooks in the cluster, even if the notebook is detached and reattached it can still be accessible but if a cluster is restarted the global temporary view is lost.

NEW QUESTION # 17
......

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