Valuable Databricks Certified Data Engineer Professional Exam Dumps Are Available For Your Preparation

Eleanor2022-08-23T02:17:58+00:00

The Databricks Certified Data Engineer Professional certification holders can demonstrate an ability to perform advanced data engineering tasks using Databricks and its capabilities. If you are one who is eager to pass the Databricks Certified Data Engineer Professional exam successfully for the certification, you can choose the valuable exam dumps to prepare for your Databricks Certified Data Engineer Professional exam well. We have collected the Databricks Certified Data Engineer Professional exam dumps questions and answers based on the exam objectives to ensure that you can pass the exam without any difficulties.

Read Databricks Certified Data Engineer Professional Free Dumps Demo Questions Below

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1. There are 5000 different color balls, out of which 1200 are pink color .

What is the maximum likelihood estimate for the proportion of "pink" items in the test set of color balls?

2.4

24 0

.24

.48

4.8

2. )

3. Which of the following data workloads will utilize a Bronze table as its source?

A job that queries aggregated data to publish key insights into a dashboard

A job that ingests raw data from a streaming source into the Lakehouse

A job that enriches data by parsing its timestamps into a human-readable format

A job that develops a feature set for a machine learning application

A job that aggregates cleaned data to create standard summary statistics

4. Which of the following describes a benefit of a data lakehouse that is unavailable in a traditional data warehouse?

A data lakehouse couples storage and compute for complete control

A data lakehouse provides a relational system of data management

A data lakehouse utilizes proprietary storage formats for data

A data lakehouse enables both batch and streaming analytics

A data lakehouse captures snapshots of data for version control purposes

5. Two junior data engineers are authoring separate parts of a single data pipeline notebook. They are working on separate Git branches so they can pair program on the same notebook simultaneously. A senior data engineer experienced in Databricks suggests there is a better alternative for this type of collaboration .

Which of the following supports the senior data engineer's claim?

Databricks Notebooks support commenting and notification comments

Databricks Notebooks support the creation of interactive data visualizations

Databricks Notebooks support real-time co-authoring on a single notebook

Databricks Notebooks support the use of multiple languages in the same notebook

Databricks Notebooks support automatic change-tracking and versioning

6. Projecting a multi-dimensional dataset onto which vector has the greatest variance?

first principal component

first eigenvector

not enough information given to answer

second eigenvector

second principal component

7. A data engineer has three notebooks in an ELT pipeline. The notebooks need to be executed in a specific order for the pipeline to complete successfully. The data engineer would like to use Delta Live Tables to manage this process.

Which of the following steps must the data engineer take as part of implementing this pipeline using Delta Live Tables?

They need to create a Delta Live Tables pipeline from the Jobs page

They need to refactor their notebook to use Python and the dlt library

They need to create a Delta Live tables pipeline from the Compute page

They need to create a Delta Live Tables pipeline from the Data page

They need to refactor their notebook to use SQL and CREATE LIVE TABLE keyword

8. A data engineering team has created a series of tables using Parquet data stored in an external sys-tem. The team is noticing that after appending new rows to the data in the external system, their queries within Databricks are not returning the new rows. They identify the caching of the previous data as the cause of this issue.

Which of the following approaches will ensure that the data returned by queries is always up-to-date?

The tables should be updated before the next query is run

The tables should be converted to the Delta format

The tables should be refreshed in the writing cluster before the next query is run

The tables should be altered to include metadata to not cache

The tables should be stored in a cloud-based external system

9. Question-3: In machine learning, feature hashing, also known as the hashing trick (by analogy to the kernel trick), is a fast and space-efficient way of vectorizing features (such as the words in a language), i.e., turning arbitrary features into indices in a vector or matrix. It works by applying a hash function to the features and using their hash values modulo the number of features as indices directly, rather than looking the indices up in an associative array.

So what is the primary reason of the hashing trick for building classifiers?

It creates the smaller models

It requires the lesser memory to store the coefficients for the model

It reduces the non-significant features e.g. punctuations

Noisy features are removed

10. Which of the following locations hosts the driver and worker nodes of a Databricks-managed clus-ter?

Data plane

Control plane

Databricks Filesystem

Databricks web application

JDBC data source

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11. GROUP BY country;

A junior data engineer asks why the schema is not being declared for the new table .

Which of the following responses explains why declaring the schema is not necessary?

CREATE TABLE AS SELECT statements result in tables that do not support schemas

CREATE TABLE AS SELECT statements assign all columns the type STRING

CREATE TABLE AS SELECT statements adopt schema details from the source table and query

CREATE TABLE AS SELECT statements infer the schema by scanning the data

CREATE TABLE AS SELECT statements result in tables where schemas are optional

12. 1.A data engineer has written the following query:

1 SELECT *

2 FROM json.`/path/to/json/file.json`;

The data engineer asks a colleague for help to convert this query for use in a Delta Live Tables (DLT) pipeline. The query should create the first table in the DLT pipeline.

Which of the following describes the change the colleague needs to make to the query?

They need to add a CREATE LIVE TABLE table_name AS line at the beginning of the query

They need to add the cloud_files(...) wrapper to the JSON file path

They need to add a CREATE DELTA LIVE TABLE table_name AS line at the beginning of the query

They need to add a live. prefix prior to json. in the FROM line

They need to add a COMMENT line at the beginning of the query

13. An engineering manager uses a Databricks SQL query to monitor their team's progress on fixes related to customer-reported bugs. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.

Which of the following approaches can the manager use to ensure the results of the query are up-dated each day?

They can schedule the query to run every 12 hours from the Jobs UI

They can schedule the query to refresh every 12 hours from the SQL endpoint's page in Databricks SQL

They can schedule the query to run every 1 day from the Jobs UI

They can schedule the query to refresh every 1 day from the query's page in Databricks SQL

They can schedule the query to refresh every 1 day from the SQL endpoint's page in Databricks SQL

14. Which of the following statements describes Delta Lake?

Delta Lake is an open source platform to help manage the complete machine learning lifecycle

Delta Lake is an open format storage layer that delivers reliability, security, and per-formance

Delta Lake is an open source data storage format for distributed data

Delta Lake is an open source analytics engine used for big data workloads

Delta Lake is an open format storage layer that processes data

15. FROM raw_table;

16. )

The code block is returning an error.

Which of the following changes should be made to the code block to configure the block to successfully perform a streaming read?

The .read line should be replaced with .readStream

The .format(' cloudFiles") line should be replaced with .format("stream")

A new .stream line should be added after the spark line

A new .stream line should be added after the .read line

A new .stream line should be added after the .load(dataSource) line

17. A data engineer has created a Delta table as part of a data pipeline. Downstream data analysts now need SELECT permission on the Delta table.

Assuming the data engineer is the Delta table owner, which part of the Databricks Lakehouse Plat-form can the data engineer use to grant the data analysts the appropriate access?

Jobs B Dashboards

Data Explorer

Repos

Databricks Filesystem

18. Which of the following data workloads will utilize a Silver table as its source?

A job that aggregates cleaned data to create standard summary statistics

A job that queries aggregated data that already feeds into a dashboard

A job that ingests raw data from a streaming source into the Lakehouse

A job that enriches data by parsing its timestamps into a human-readable format

A job that cleans data by removing malformatted records

19. You are working on a email spam filtering assignment, while working on this you find there is new word e.g. HadoopExam comes in email, and in your solutions you never come across this word before, hence probability of this words is coming in either email could be zero.

So which of the following algorithm can help you to avoid zero probability?

Naive Bayes

Laplace Smoothing

Logistic Regression

All of the above

20. A denote the event 'student is female' and let B denote the event 'student is French'. In a class of 100 students suppose 60 are French, and suppose that 10 of the French students are females. Find the probability that if I pick a French student, it will be a girl, that is, find P(A|B).

1/3

2/3

1/6

2/6

Valuable Databricks Certified Data Engineer Professional Exam Dumps Are Available For Your Preparation