Big Data & Analytics NASSCOM Certification – Big Data Foundation Course by Digital Vidya

Related Articles

Saylor Academy English as a Second Language Certification Exam Answers

2 weeks ago

Saylor Academy ESL005: Business-Proficient English as a Second Language Exam Answers

3 weeks ago

Saylor Academy ESL004: Advanced English as a Second Language Certification Exam Answers

3 weeks ago

Enroll Here: Big Data Foundation Course Certificate

Question 1: Data incoming from different sources/formats is which property of Big Data?

• Velocity
• Variety
• Veracity
• Volume

Question 2: The Traditional Grid computing systems have multiple worker as well as storage systems but they suffer from storage bottleneck issues. True or False?

• True
• False

Question 3: Which is not the characteristic of Distributed Computing?

• Fault Intolerant
• Concurrent
• Scalability
• Centralized System
• All of them

Question 4: Difference/Similarity between Traditional Grid Computing & Big Data Grid Computing?

• Each worker node has its own storage system in the Big Data Grid
• There is only one worker node but multiple storage systems in the Big Data Grid
• Both have master node

Question 5: Which were the earliest technologies developed for Big Data?

• HDFS, MR, Hive, Pig
• Heavy Distributed File System, Pig, MR, Solr
• HDFS, Pig, MR, Solr
• 2nd and 3rd Option

Question 6: Which all industries from given options can be case studies for Big Data?

• FMCG
• Health Care
• Finance
• Manufacturing
• All of them

Question 7: What are the database characteristics required?

• ACID(Atomicity, Concurrency, Isolation, Durability)
• ACID(Atomicity, Concurrency, Isolation, Durability)
• ACID(Atomicity, Consistency, Integrity, Durability)
• ACID(Availability, Consistency, Isolation, Durability)
• ACID(Atomicity, Consistency, Isolation, Durability)

Question 8: Pivotal, Action, Teradata, etc. are the leading Big Data platform providers which are used by industries instead of implementing the infrastructure by themselves. True or False?

• True
• False

Question 9: What are the key highlights of Big Data Business Model Maturity Index?

• Business Monitoring, Optimization, Integrity; Data Monetization; Business Metamorphosis
• Business Monitoring, Consistency, Integrity; Data Monetization; Business Metamorphosis
• Business Monitoring, Optimization, Insights; Data Monetization; Business Metamorphosis
• None

Question 10: Which is not the step included in the Data Scientist’s work?

• Discovery
• Model Building
• Requirement Gathering
• Dashboard creation

Question 11: Data from various sources, Data cleaning & Sorting, Presentation are the building blocks of a Data Ware house. True or False?

• True
• False

Question 12: Select True statement from below statements:

• Modern Data warehouses are built on Hadoop Distributed File Systems
• RDBMS cannot co-exist with Hadoop technologies
• Data warehouses cannot be built on Hadoop systems
• Report tools can be directly used on Hadoop

Question 13: Which of the following is correct for CAP theorem?

• AP – RDBMS
• CP – MongoDB, HBase
• CA – Cassandra, Dynamo
• None of the above

Question 14: What is the alternative to Map-Reduce in Hadoop Ecosystem?

• YARN
• HDFS
• Tez
• Spark

Question 15: Which Hadoop technology is used for 1) scheduling tasks, 2) managing coordination between master and slave nodes?

• Oozie – Ambari
• Zookeeper – Oozie
• YARN – Zookeeper
• Oozie – Zookeeper

Question 16: Which open source Hadoop technology is used for both data flow & Machine Learning tasks?

• Map Reduce
• Spark
• HBase
• Mahout

Question 17: The technologies that can be used for 1) SQL on Hadoop 2) Streaming real-time data?

• HBase – Pig
• Kafka – Hive
• DRILL – STORM
• Hive – KAFKA

Question 18: Which of the following stand for Hadoop 1.x Vs. Hadoop 2.x?

• 1.x Limited scaling till 4000 nodes – 2.x Better scalability up to 10000 nodes
• Manual intervention is not needed in both as both have multiple NameNodes
• 1.x Limitation in serving as platform for data-related activities – 2.x Can server as a platform
• None stands

Question 19: Select the components of Hadoop Cluster

• Master-NameNode
• Slave-DataNode
• NameNode
• Client

Question 20: What all are examples of automation used for Data Ingestion using AI?

• Inferring global schema from local tables mapped to it
• Given a global table, infer which local table it should be ingested into
• Infer synonyms for data normalization
• Detect duplication of records

Question 21: Which of the following is an example of MongoDB query?

• Select * from Students where name like “_BAC”;
• Db.Students.find({“name”:/.*BAC/})
• Db.Students.findall({“name”:/.*BAC/})
• None

Question 22: Which of the following is not a component of Big Data Pipeline?

• Compute
• Storage
• Subscribe
• Messaging

Question 23: What are the advantages of Data Lake on Data Warehouse?

• Can store all types of data
• Highly Agile/flexible
• Matured
• All of above

Question 24: Which framework is used in place of MR currently?

• HBase
• Spark
• YARN
• None of the above

Question 25: Spark Dataframes are:

• Distributed datasets
• Immutable
• Disabled for distributed computations
• Enabled for distributed computations