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Databricks Certified Data Engineer Professional Sample Questions:

1. An upstream system has been configured to pass the date for a given batch of data to the Databricks Jobs API as a parameter. The notebook to be scheduled will use this parameter to load data with the following code:
df = spark.read.format("parquet").load(f"/mnt/source/(date)")
Which code block should be used to create the date Python variable used in the above code block?

A) date = spark.conf.get("date")
B) input_dict = input()
date= input_dict["date"]
C) import sys
date = sys.argv[1]
D) dbutils.widgets.text("date", "null")
date = dbutils.widgets.get("date")
E) date = dbutils.notebooks.getParam("date")

2. The view updates represents an incremental batch of all newly ingested data to be inserted or Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from updated in the customers table.
The following logic is used to process these records.
MERGE INTO customers
USING (
SELECT updates.customer_id as merge_ey, updates .*
FROM updates
UNION ALL
SELECT NULL as merge_key, updates .*
FROM updates JOIN customers
ON updates.customer_id = customers.customer_id
WHERE customers.current = true AND updates.address <> customers.address ) staged_updates ON customers.customer_id = mergekey WHEN MATCHED AND customers. current = true AND customers.address <> staged_updates.address THEN UPDATE SET current = false, end_date = staged_updates.effective_date WHEN NOT MATCHED THEN INSERT (customer_id, address, current, effective_date, end_date) VALUES (staged_updates.customer_id, staged_updates.address, true, staged_updates.effective_date, null) Which statement describes this implementation?

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B) The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.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

3. The Databricks workspace administrator has configured interactive clusters for each of the data engineering groups. To control costs, clusters are set to terminate after 30 minutes of inactivity.
Each user should be able to execute workloads against their assigned clusters at any time of the day.
Assuming users have been added to a workspace but not granted any permissions, which of the following describes the minimal permissions a user would need to start and attach to an already configured cluster.

A) "Can Manage" privileges on the required cluster
B) Cluster creation allowed. "Can Restart" privileges on the required cluster
C) Cluster creation allowed. "Can Attach To" privileges on the required cluster
D) "Can Restart" privileges on the required cluster
E) Workspace Admin privileges, cluster creation allowed. "Can Attach To" privileges on the required cluster

4. A task orchestrator has been configured to run two hourly tasks. First, an outside system writes Parquet data to a directory mounted at /mnt/raw_orders/. After this data is written, a Databricks job containing the following code is executed:
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from

Assume that the fields customer_id and order_id serve as a composite key to uniquely identify each order, and that the time field indicates when the record was queued in the source system.
If the upstream system is known to occasionally enqueue duplicate entries for a single order hours apart, which statement is correct?

A) Duplicate records enqueued more than 2 hours apart may be retained and the orders table may contain duplicate records with the same customer_id and order_id.
B) All records will be held in the state store for 2 hours before being deduplicated and committed to the orders table.
C) The orders table will not contain duplicates, but records arriving more than 2 hours late will be ignored and missing from the table.
D) The orders table will contain only the most recent 2 hours of records and no duplicates will be present.
E) Duplicate records arriving more than 2 hours apart will be dropped, but duplicates that arrive in the same batch may both be written to the orders table.

5. A data architect has designed a system in which two Structured Streaming jobs will concurrently write to a single bronze Delta table. Each job is subscribing to a different topic from an Apache Kafka source, but they will write data with the same schema. To keep the directory structure simple, a data engineer has decided to nest a checkpoint directory to be shared by both streams.
The proposed directory structure is displayed below:

Which statement describes whether this checkpoint directory structure is valid for the given scenario and why?

A) Yes; Delta Lake supports infinite concurrent writers.
B) No; only one stream can write to a Delta Lake table.
C) Yes; both of the streams can share a single checkpoint directory.
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
D) No; each of the streams needs to have its own checkpoint directory.
E) No; Delta Lake manages streaming checkpoints in the transaction log.

Solutions: