Databricks Certified Data Engineer Professional Exam Databricks-Certified-Professional-Data-Engineer Exam Questions with Experts Answers Updated Recently

A.  

No; Delta Lake manages streaming checkpoints in the transaction log.

B.  

Yes; both of the streams can share a single checkpoint directory.

C.  

No; only one stream can write to a Delta Lake table.

D.  

Yes; Delta Lake supports infinite concurrent writers.

E.  

No; each of the streams needs to have its own checkpoint directory.

A.  

date = spark.conf.get("date")

B.  

input_dict = input()

date= input_dict["date"]

C.  

import sys

date = sys.argv[1]

D.  

date = dbutils.notebooks.getParam("date")

E.  

dbutils.widgets.text("date", "null")

date = dbutils.widgets.get("date")

A.  

It is retained until you export or delete job run logs

B.  

It is retained for 30 days, during which time you can deliver job run logs to DBFS or S3

C.  

t is retained for 60 days, during which you can export notebook run results to HTML

D.  

It is retained for 60 days, after which logs are archived

E.  

It is retained for 90 days or until the run-id is re-used through custom run configuration

A.  

Three new jobs named "Ingest new data" will be defined in the workspace, and they will each run once daily.

B.  

The logic defined in the referenced notebook will be executed three times on new clusters with the configurations of the provided cluster ID.

C.  

Three new jobs named "Ingest new data" will be defined in the workspace, but no jobs will be executed.

D.  

One new job named "Ingest new data" will be defined in the workspace, but it will not be executed.

E.  

The logic defined in the referenced notebook will be executed three times on the referenced existing all purpose cluster.