Databricks Certified Data Engineer Associate - Preparation

Databricks Certified Data Engineer Associate - Certification Preparation

About This Class

Practice Exam

Description

If you are interested in becoming a Certified Data Engineer Associate from Databricks, you have come to the right place! I am here to helping you with preparing for this certification exam.

By the end of this course, you should be able to

Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools, including

Data Lakehouse (architecture, descriptions, benefits)

Data Science and Engineering workspace (clusters, notebooks, data storage)

Delta Lake (general concepts, table management and manipulation, optimizations)

Build ETL pipelines using Apache Spark SQL and Python, including

Relational entities (databases, tables, views)

ELT (creating tables, writing data to tables, cleaning data, combining and reshaping tables, SQL UDFs)

Python (facilitating Spark SQL with string manipulation and control flow, passing data between PySpark and Spark SQL)

Incrementally process data, including

Structured Streaming (general concepts, triggers, watermarks)

Auto Loader (streaming reads)

Multi-hop Architecture (bronze-silver-gold, streaming applications)

Delta Live Tables (benefits and features)

Build production pipelines for data engineering applications and Databricks SQL queries and dashboards, including

Jobs (scheduling, task orchestration, UI)

Dashboards (endpoints, scheduling, alerting, refreshing)

Understand and follow best security practices, including

Unity Catalog (benefits and features)

Entity Permissions (team-based permissions, user-based permissions)

With the knowledge you gain during this course, you will be ready to take the certification exam.

I am looking forward to meeting you!

Project Guide

Practice Exam

Now that you have learned how to use Databricks and its tools, it is time to take the practice exam for the Databricks Certified Data Engineer Associate certification.

After taking this practice exam, one should know what to expect while taking the actual Data Engineer Associate exam.

Just like the actual exam, it contains 45 multiple-choice questions. Each of these questionshas one correct answer.

1. Download: the official Databricks practice exam for the Data Engineer Associate certification



2. Take the practice exam

Before starting, there are a few things to be aware of

There is a 90-minute time limit to take the exam.

In order to pass the exam, you need to correctly answer at least 32 of the 45 questions.

You should not have access to any documentation or Databricks environments during the exam.

3. Evaluate your score

Once you've completed the practice exam, evaluate your score using the correct answers at

the bottom of the exam document.

4. Take the actual exam

If you're ready to take the exam, head to the Databricks Certification portal to register.

5. Feedback - Post your feedback here along with any suggestions or results that could help another member!

Good luck! You can do it! I look forward to hearing from you!

Overview

Lesson 1:Course Overview

Lesson 2:What is Databricks

Lesson 3:Get Started with Community Edition

Lesson 4:Free trial on Azure

Lesson 5:Exploring Workspace

Lesson 6:Course Materials

Lesson 7:Creating Cluster

Lesson 8:Notebooks Fundamentals

Lesson 9:Databricks Repos

Lesson 10:Delta Lake

Lesson 11:Understanding Delta Tables (Hands On)

Lesson 12:Advanced Delta Lake Features

Lesson 13:Apply Advanced Delta Features (Hands On)

Lesson 14:Relational entities

Lesson 15:Databases and Tables on Databricks (Hands On)

Lesson 16:Set Up Delta Tables

Lesson 17:Views

Lesson 18:Working with Views (Hands On)

Lesson 19:Querying Files

Lesson 20:Querying Files (Hands On)

Lesson 21:Writing to Tables (Hands On)

Lesson 22:Advanced Transformations (Hands On)

Lesson 23:Higher Order Functions and SQL UDFs (Hands On)

Lesson 24:Structured Streaming

Lesson 25:Structured Streaming (Hands On)

Lesson 26:Incremental Data Ingestion

Lesson 27:Auto Loader (Hands On)

Lesson 28:Multi hop Architecture

Lesson 29:Delta Live Tables (Hands On)

Lesson 30:Change Data Capture

Lesson 31:Processing CDC Feed with DLT (Hands On)

Lesson 32:Jobs (Hands On)

Lesson 33:Databricks SQL

Lesson 34:Data Objects Privileges

Lesson 35:Managing Permissions (Hands On)

Lesson 36:Certification Overview

Screenshots