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Databricks Certified Data Engineer Professional Sample Questions:

1. A table in the Lakehouse named customer_churn_params is used in churn prediction by the machine learning team. The table contains information about customers derived from a number of upstream sources. Currently, the data engineering team populates this table nightly by overwriting the table with the current valid values derived from upstream data sources.
The churn prediction model used by the ML team is fairly stable in production. The team is only interested in making predictions on records that have changed in the past 24 hours.
Which approach would simplify the identification of these changed records?

A) Convert the batch job to a Structured Streaming job using the complete output mode; configure a Structured Streaming job to read from the customer_churn_params table and incrementally predict against the churn model.
B) Modify the overwrite logic to include a field populated by calling
spark.sql.functions.current_timestamp() as data are being written; use this field to identify records written on a particular date.
C) Replace the current overwrite logic with a merge statement to modify only those records that have changed; write logic to make predictions on the changed records identified by the change data feed.
D) Calculate the difference between the previous model predictions and the current customer_churn_params on a key identifying unique customers before making new predictions; only make predictions on those customers not in the previous predictions.
E) Apply the churn model to all rows in the customer_churn_params table, but implement logic to perform an upsert into the predictions table that ignores rows where predictions have not changed.

2. A table is registered with the following code:
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from

Both users and orders are Delta Lake tables. Which statement describes the results of querying recent_orders?

A) All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query began.
B) All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query finishes.
C) Results will be computed and cached when the table is defined; these cached results will incrementally update as new records are inserted into source tables.
D) All logic will execute when the table is defined and store the result of joining tables to the DBFS; this stored data will be returned when the table is queried.
E) The versions of each source table will be stored in the table transaction log; query results will be saved to DBFS with each query.

3. A Databricks SQL dashboard has been configured to monitor the total number of records present in a collection of Delta Lake tables using the following query pattern:
SELECT COUNT (*) FROM table
Which of the following describes how results are generated each time the dashboard is updated?

A) The total count of records is calculated from the parquet file metadata
B) The total count of rows will be returned from cached results unless REFRESH is run
C) The total count of records is calculated from the Hive metastore
D) The total count of rows is calculated by scanning all data files
E) The total count of records is calculated from the Delta transaction logs

4. Which statement regarding stream-static joins and static Delta tables is correct?

A) The checkpoint directory will be used to track state information for the unique keys present in the join.
B) Each microbatch of a stream-static join will use the most recent version of the static Delta table as of each microbatch.
C) The checkpoint directory will be used to track updates to the static Delta table.
D) Each microbatch of a stream-static join will use the most recent version of the static Delta table as of the job's initialization.
E) Stream-static joins cannot use static Delta tables because of consistency issues.

5. The data architect has mandated that all tables in the Lakehouse should be configured as external Delta Lake tables.
Which approach will ensure that this requirement is met?

A) When tables are created, make sure that the external keyword is used in the create table statement.
B) Whenever a database is being created, make sure that the location keyword is used Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
C) Whenever a table is being created, make sure that the location keyword is used.
D) When configuring an external data warehouse for all table storage. leverage Databricks for all ELT.
E) When the workspace is being configured, make sure that external cloud object storage has been mounted.

Solutions: