Databricks Data Engineer Associate Certification Sample Questions
The purpose of this Sample Question Set is to provide you with information about the Databricks Certified Data Engineer Associate exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the Data Engineer Associate certification test. To get familiar with real exam environment, we suggest you try our Sample Databricks Lakehouse Data Engineer Associate Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual Databricks Certified Data Engineer Associate certification exam.
These sample questions are simple and basic questions that represent likeness to the real Databricks Certified Data Engineer Associate exam questions. To assess your readiness and performance with real-time scenario based questions, we suggest you prepare with our Premium Databricks Data Engineer Associate Certification Practice Exam. When you solve real time scenario based questions practically, you come across many difficulties that give you an opportunity to improve.
Databricks Data Engineer Associate Sample Questions:
Which execution modes describe this pipeline?
a) Triggered pipeline mode in production mode
b) Triggered pipeline mode in development mode
c) Continuous pipeline mode in development mode
d) Continuous pipeline mode in production mode
Which SQL command grants the required access?
a) GRANT SELECT ON ALL TABLES IN SCHEMA sales_data TO analysts;
b) GRANT ALL PRIVILEGES ON SCHEMA sales_data TO analysts;
c) GRANT INSERT ON SCHEMA sales_data TO analysts;
d) GRANT SELECT ON SCHEMA sales_data TO analysts;
SELECT faculty_id, students, ___________ AS new_totals FROM faculties
Which expression fills the blank?
a) FILTER(students, i -> i.total_courses + 1)
b) TRANSFORM(students, i -> i.total_courses + 1)
c) EXISTS(students, i -> i.total_courses + 1)
d) TRANSFORM(students, total_courses + 1)
Which configuration meets these requirements?
a) Share the tables with partners through a share, and grant internal groups SELECT and MODIFY in Unity Catalog.
b) Add the tables to a share, and grant both partners and internal teams MODIFY through the share.
c) Grant SELECT to partners and SELECT plus MODIFY to internal teams, both on the share.
d) Create a share, generate one access URL, and distribute it to internal teams and partners.
CREATE SCHEMA hr.db_hr MANAGED LOCATION 's3://corp-data/hr/';
CREATE TABLE hr.db_hr.employees (id INT, name STRING);
Where is the data for the managed table employees stored?
a) dbfs:/user/hive/warehouse/db_hr.db/employees
b) In the metastore-level managed storage location
c) In the managed storage location of the hr catalog
d) Under the schema's managed location, s3://corp-data/hr/
id STRING = 'a1'
rank INTEGER = 6
rating FLOAT = 9.4
Which SQL command appends this record to the existing Delta table my_table?
a) INSERT INTO my_table VALUES ('a1', 6, 9.4)
b) INSERT VALUES ('a1', 6, 9.4) INTO my_table
c) UPDATE VALUES ('a1', 6, 9.4) my_table
d) UPDATE my_table VALUES ('a1', 6, 9.4)
a) They can assign Task A an order number of 1 and Task B an order number of 2
b) They can configure the dependency at the notebook level using the dbutils.jobs utility
c) Lakeflow Jobs do not support linear dependencies between tasks; this is possible only in Lakeflow Spark Declarative Pipelines
d) They can add both tasks to the job, since tasks always run in the order they were created
e) They can select Task A in the Depends on field of the Task B configuration
GRANT USE SCHEMA ON SCHEMA main.sales_db TO finance_team
What does the USE SCHEMA privilege give the group?
a) Nothing that affects access control
b) Full control of the schema
c) Access to objects in the schema, only when combined with other privileges
d) Read access to every table in the schema
a) mergeSchema
b) Z-Ordering
c) COPY INTO
d) Watermarking
e) Checkpointing
CREATE OR REFRESH STREAMING TABLE sales_silver AS SELECT store_id, total + tax AS total_after_tax FROM sales_bronze
The pipeline fails to start with an error on this query. Which FROM clause correctly reads the upstream table incrementally?
a) FROM STREAM_TABLE(sales_bronze)
b) FROM STREAM(sales_bronze)
c) FROM STREAMING(sales_bronze)
d) FROM sales_bronze WITH STREAM
Answers:
|
Question: 01 Answer: c |
Question: 02 Answer: d |
Question: 03 Answer: b |
Question: 04 Answer: a |
Question: 05 Answer: d |
|
Question: 06 Answer: a |
Question: 07 Answer: e |
Question: 08 Answer: c |
Question: 09 Answer: e |
Question: 10 Answer: b |
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