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Databricks Certified Professional Data Engineer Exam Sample Questions (Q85-Q90):

NEW QUESTION # 85
A junior data engineer has ingested a JSON file into a table rawtable with the following schema:
1. cartid STRING,
2. items ARRAY<itemid:STRING>
The junior data engineer would like to unnest the items column in rawtable to result in a new table with the
following schema:
1.cartid STRING,
2.itemid STRING
Which of the following commands should the junior data engineer run to complete this task?

• A. 1. SELECT cartid, filter(items) AS itemid
  2. FROM raw_table;
• B. 1. SELECT cartid, slice(items) AS itemid
  2. FROM raw_table;
• C. 1. SELECT cartid, reduce(items) AS itemid
  2. FROM raw_table;
• D. 1. SELECT cartid, explode(items) AS itemid
  2. FROM raw_table;
• E. 1. SELECT cartid, flatten(items) AS itemid
  2. FROM raw_table;

Answer: D
NEW QUESTION # 86
Which of the following type of tasks cannot setup through a job?

• A. Notebook
• B. DELTA LIVE PIPELINE
• C. Databricks SQL Dashboard refresh
• D. Python
• E. Spark Submit

Answer: C
NEW QUESTION # 87
A data engineer has set up a notebook to automatically process using a Job. The data engineer's manager wants
to version control the schedule due to its complexity.
Which of the following approaches can the data engineer use to obtain a version-controllable con-figuration of
the Job's schedule?

• A. They can download the XML description of the Job from the Job's page
• B. They can submit the Job once on a Job cluster
• C. They can link the Job to notebooks that are a part of a Databricks Repo
• D. They can download the JSON description of the Job from the Job's page
• E. They can submit the Job once on an all-purpose cluster

Answer: D
NEW QUESTION # 88
A data engineer wants to create a relational object by pulling data from two tables. The relational object must
be used by other data engineers in other sessions. In order to save on storage costs, the data engineer wants to
avoid copying and storing physical data.
Which of the following relational objects should the data engineer create?

• A. Delta Table
• B. Temporary view
• C. View
• D. Spark SQL Table
• E. Database

Answer: C
NEW QUESTION # 89
Define an external SQL table by connecting to a local instance of an SQLite database using JDBC

• A. 1.CREATE TABLE usersjdbc
  2.USING org.apache.spark.sql.jdbc.sqlite
  3.OPTIONS (
  4. url = "jdbc:/sqmpledb",
  5. dbtable = "users"
  6.)
• B. 1.CREATE TABLE usersjdbc
  2.USING SQL
  3.URL = {server:"jdbc:/sqmpledb",dbtable: "users"}
• C. 1.CREATE TABLE usersjdbc
  2.USING SQL
  3.OPTIONS (
  4. url = "jdbc:sqlite:/sqmpledb",
  5. dbtable = "users"
  6.)
• D. 1.CREATE TABLE usersjdbc
  2.USING org.apache.spark.sql.jdbc
  3.OPTIONS (
  4. url = "jdbc:sqlite:/sqmpledb",
  5. dbtable = "users"
  6.)
• E. 1.CREATE TABLE usersjdbc
  2.USING SQLITE
  3.OPTIONS (
  4. url = "jdbc:/sqmpledb",
  5. dbtable = "users"
  6.)

Answer: A Explanation:
Explanation
The answer is,
1.CREATE TABLE usersjdbc
2.USING org.apache.spark.sql.jdbc
3.OPTIONS (
4. url = "jdbc:sqlite:/sqmpledb",
5. dbtable = "users"
6.)
Databricks runtime currently supports connecting to a few flavors of SQL Database including SQL Server, My SQL, SQL Lite and Snowflake using JDBC.
1.CREATE TABLE <jdbcTable>
2.USING org.apache.spark.sql.jdbc or JDBC
3.OPTIONS (
4. url = "jdbc:<databaseServerType>://<jdbcHostname>:<jdbcPort>",
5. dbtable " = <jdbcDatabase>.atable",
6. user = "<jdbcUsername>",
7. password = "<jdbcPassword>"
8.)
For more detailed documentation
SQL databases using JDBC - Azure Databricks | Microsoft Docs
NEW QUESTION # 90
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