Spark and Hadoop Practice Tests (Formerly CCA 175 Tests)

Name: Spark and Hadoop Practice Tests (Formerly CCA 175 Tests)
Rating: 4.7 (201 reviews)

Do you want to evaluate yourself about your abilities related to Spark using simulated real world scenarios?

Created byDurga Viswanatha Raju Gadiraju

Last updated 5/2022

English

English [Auto],

What you'll learn

Self Evaluation for CCA 175 Spark and Hadoop Developer
Practice with exam type scenarios in a simulated environment (free access for a day)
Perform end to end tasks similar to projects
Brush up required skills for CCA 175 in the areas of Sqoop, Hive, HDFS Commands and Spark.

Course content

5 sections • 15 lectures • 1h 24m total length

Introduction - CCA 175 Spark and Hadoop Developer - Practice Test6:20
Prepare for the CCA 175 Spark and Hadoop Developer exam with a five-section practice course featuring labs, Cloudera Quickstart, remote desktop prep, 25 scenarios, and Hive and SQL practice.
CCA 175 Certification Exam - Overview11:10
Prepare for the 175 certification by mastering Spark and Hadoop tasks on a Cloudera Enterprise cluster, tackling 8 to 12 performance-based tasks with templates or from scratch.
Tools for preparation3:03
Prepare with live clusters, labs, and a certification simulator in a realistic remote desktop environment, using Cloudera Quickstart VM when you have 16 GB RAM and a quad-core.
Getting Details about the Exam6:11
Register for the Cloudera certified associate Spark and Hadoop developer exam, and learn the exam environment, format, and time management via free courses and a certification simulator.
Signing up for the Exam2:54
Sign up for 105 spark and hadoop developer exam via Google or Cloudera, pay $205 with a one-year coupon, and schedule anywhere after confirming you know sqoop, hive, and spark.
Differences Between Cloudera QuickStart VM and Multi Node Clusters9:08
Practice with multi-node clusters or quickstart VMs to prepare for Spark and Hadoop exams, using MySQL, Sqoop, Hive, and Spark 2.3/2.4. Understand remote desktop environments and simulator options.

Introduction to Setting up Enviroment for Practice3:09
Discover how to set up and practice spark with two repositories—varsity boxes for virtual machines and varsity books for content—by following, watching, starring, and forking on GitHub.
Overview of ITVersity Boxes GitHub Repository3:11
Creating Virtual Machine10:31
Set up and configure virtual machines with Vagrant and VirtualBox to practice Spark and Hadoop, using provided CentOS 7 Sparc boxes, Git cloning, and Vagrant up workflows.
Starting HDFS and YARN4:28
Start a single-node Hadoop cluster by configuring Hadoop and YARN, verify HDFS and YARN daemons, and run Spark with YARN as the execution mode using spark-shell and pyspark.
Gracefully Stopping Virtual Machine5:41
Stop hadoop services gracefully by stopping yarn before hdfs, verify shutdown, then halt the virtual machine with vagrant, and later bring it up again to restart hdfs and yarn.
Undertanding Datasets provided in Virtual Machine5:38
Learn to set up the virtual machine, copy the retail db dataset to HDFS, preview text data, and practice Spark SQL or PySpark on simple datasets to solve real problems.
Using GitHub Content for the practice5:11
Practice spark and hadoop skills by using GitHub notebooks and open source content in a virtual machine, launching spark shell with yarn, and copying code to explore datasets in hdfs.
Using Resources for Practice5:10
Access the virtual machine, GitHub notebooks, and Udemy videos to practice Spark and Hadoop, validating Hdfs and yarn integration with real datasets.

Requirements

Proficient in CCA 175 Curriculum
Programming using Scala or Python
In depth knowledge of Sqoop and Hive
Ability to develop programs using Spark Core APIs, Data Frames as well as Spark Structured Streaming

Description

CCA 175 Spark and Hadoop Developer is scenario based exam. You will be provided with Remote Desktop based on Linux and tasks for which you have to come up with solutions.

Following are the areas you should be focusing on before giving the exam:

Required Skills - Sqoop, Hive and Hive QL, Spark 1.6 or Spark 2.3
Ability to navigate through documentation with out googling around
Programming using Scala or Python
HDFS Commands to validate the results
Ability to use editors like Sublime Text and Linux Terminal to save the time
Be comfortable with Linux based Remote Desktop

At ITVersity, we have the track record of helping thousands of students clearing CCA 175 Certification. However, on popular demand we have decided to provide you practice tests and as well as tools to make your self comfortable with exam environment.

What you will learn?

As part of this course, we will be focusing on

Refreshing important commands to validate results
Ability to get properties using command line tools
Practice Test exclusive to Hive and Sqoop
Practice Test exclusive to Spark
Mock Test with Sqoop, Hive and Spark
Total 25+ questions of examination standard

Note: Our tools will only enhance your confidence to take the exam. This does not guarantee that you will be able to pass the exam. Also the questions are not examination dumps and don't take it as complete set of scenarios which you might be getting as part of the exam.

Who this course is for:

CCA 175 Aspirants who want to self evaluate the skills for CCA 175 Spark and Hadoop Developer
Data Engineers or Big Data Developers who want to practice different types of standard scenarios

Spark and Hadoop Practice Tests (Formerly CCA 175 Tests)

What you'll learn

Explore related topics

Course content

Getting Started6 lectures • 39min

Setup Hadoop and Spark Environment for Practice8 lectures • 43min

Let's warm up - Simple tests to validate environment and preview data0

Practice Assignments or Exams for CCA 1751 lecture • 3min

Retake with Solutions - Practice Assignments or Exams for CCA 1750

Requirements

Description

Who this course is for: