Spark Fundamentals I Quiz Answers

Get Spark Fundamentals I Quiz Answers

Learn the fundamentals of Spark, the technology that is revolutionizing the analytics and big data world! Spark is an open source processing engine built around speed, ease of use, and analytics. If you have large amounts of data that requires low latency processing that a typical MapReduce program cannot provide, Spark is the way to go.

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Module 1 – Introduction to Spark

Question: What gives Spark its speed advantage for complex applications?

Spark extends the MapReduce model
Spark makes extensive use of in-memory computations
Various libraries provide Spark with additional functionality
Spark can cover a wide range of workloads under one system
All of the above

Question: For what purpose would an Engineer use Spark? Select all that apply.

Analyzing data to obtain insights
Programming with Spark’s API
Transforming data into a useable form for analysis
Developing a data processing system
Tuning an application for a business use case

Question: Which of the following statements are true of the Resilient Distributed Dataset (RDD)? Select all that apply.

There are three types of RDD operations.
RDDs allow Spark to reconstruct transformations
RDDs only add a small amount of code due to tight integration
RDD action operations do not return a value
RDD is a distributed collection of elements parallelized across the cluster.

Module 2 – Resilient Distributed Dataset and DataFrames

Question: Which of the following methods can be used to create a Resilient Distributed Dataset (RDD)? Select all that apply.

Creating a directed acyclic graph (DAG)
Parallelizing an existing Spark collection
Referencing a Hadoop-supported dataset
Using data that resides in Spark
Transforming an existing RDD to form a new one

Question: What happens when an action is executed?

A cache is created for storing partial results in memory
Data is partitioned into different blocks across the cluster
Executors prepare the data for operation in parallel
The driver sends code to be executed on each block
All of the above

Question: Which of the following statements is true of RDD persistence? Select all that apply.

Persistence through caching provides fault tolerance
Future actions can be performed significantly faster
Each partition is replicated on two cluster nodes
RDD persistence always improves space efficiency
By default, objects that are too big for memory are stored on the disk

Module 3 – Spark application programming

Question: What is SparkContext?

An object that represents the connection to a Spark cluster
A tool for linking to nodes
A tool that provides fault tolerance
The built-in shell for the Spark engine
A programming language for applications

Question: Which of the following methods can be used to pass functions to Spark? Select all that apply.

Transformations and actions
Passing by reference
Static methods in a global singleton
Import statements
Anonymous function syntax

Question: Which of the following is a main component of a Spark application’s source code?

SparkContext object
Business Logic
Import statements
Transformations and actions
All of the above

Module 4 – Introduction to the Spark libraries

Question: Which of the following is NOT an example of a Spark library?

Spark Streaming
GraphX
Hive
Spark SQL
MLlib

Question: From which of the following sources can Spark Streaming receive data? Select all that apply.

Kafka
JSON
Parquet
HDFS
Hive

Question: In Spark Streaming, processing begins immediately when an element of the application is executed. True or false?

True
False

Module 5 – Spark configuration, monitoring and tuning

Question: Which of the following is a main component of a Spark cluster? Select all that apply.

Driver Program
SparkContext
Cluster Manager
Worker node
Cache

Question: What are the main locations for Spark configuration? Select all that apply.

The SparkConf object
The Spark Shell
Executor Processes
Environment variables
Logging properties

Question: Which of the following techniques can improve Spark performance? Select all that apply.

Scheduler Configuration
Memory Tuning
Data Serialization
Using Broadcast variables
Using nested structures

Final Exam

Question: Which of the following is a type of Spark RDD operation? Select all that apply.

Parallelization
Action
Persistence
Transformation
Evaluation

Question: Spark must be installed and run on top of a Hadoop cluster. True or false

True
False

Question: Which of the following operations will work improperly when using a Combiner?

Minimum
Maximum
Average
Count
All of the above operations will work properly

Question: Spark supports which of the following libraries?

Spark SQL
Spark Streaming
MLlib
GraphX
All of the above

Question: Spark supports which of the following programming languages?

C++ and Python
Scala, Java, C++, Python, Perl
Scala, Perl, Java
Java and Scala
Scala, Python, Java, R

Question: A transformation is evaluated immediately. True or false?

True
False

Question: Which storage level does the cache() function use?

MEMORY_ONLY_SER
MEMORY_ONLY
MEMORY_AND_DISK
MEMORY_AND_DISK_SER

Question: Which of the following statements does NOT describe accumulators?

They are read-only
They can only be added through an associative operation
They can only be read by the driver
Programmers can extend them beyond numeric types
They implement counters and sums

Question: You must explicitly initialize the SparkContext when creating a Spark application. True or false?

True
False

Question: The “local” parameter can be used to specify the number of cores to use for the application. True or false?

True
False

Question: Spark applications can ONLY be packaged using one, specific build tool. True or false?

True
False

Question: Which of the following parameters of the “spark-submit” script determine where the application will run?

–conf
–class
–master
–deploy-mode
None of the above

Question: Which of the following is NOT supported as a cluster manager?

YARN
Mesos
Spark
Helix
All of the above are supported

Question: Spark SQL allows relational queries to be expressed in which of the following?

HiveQL only
SQL only
Scala, SQL, and HiveQL
Scala and SQL
Scala and HiveQL

Question: Spark Streaming processes live streaming data in real-time. True or false?

True
False

Question: The MLlib library contains which of the following algorithms?

Dimensionality Reduction
Regression
Classification
Clustering
All of the above

Question: What is the purpose of the GraphX library?

To generate data-parallel models
To create a visual representation of the data
To perform graph-parallel computations
To convert from data-parallel to graph-parallel algorithms
To create a visual representation of a directed acyclic graph (DAG)

Question: Which list describes the correct order of precedence for Spark configuration, from highest to lowest?

Properties set on SparkConf, flags passed to spark-submit, values in spark-defaults.conf
Properties set on SparkConf, values in spark-defaults.conf, flags passed to spark-submit
Values in spark-defaults.conf, properties set on SparkConf, flags passed to spark-submit
Flags passed to spark-submit, values in spark-defaults.conf, properties set on SparkConf
Values in spark-defaults.conf, flags passed to spark-submit, properties set on SparkConf

Question: Spark monitoring can be performed with external tools. True or false?

True
False

Question: Which serialization libraries are supported in Spark? Select all that apply.

Apache Avro
Java Serialization
Protocol Buffers
Kyro Serialization
TPL

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