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WorksheetsBIG DATA DAY 3 Quiz
Total questions: 15
Worksheet time: 8mins
Amazon S3 bucket policies can restrict access to Amazon S3 buckets & objects by which of the following?(Choose Multiple Option)
Company name
IP address range
AWS account
Country of origin
Objects with specific prefix
What is needed before you enable cross region replication on Amazon S3 bucket?(Choose Multiple Option)
Enable versioning on bucket.
Enable a lifecycle rule to migrate data.
Enable static web hosting
Create IAM policy.
Reasons to enable cross region replication on Amazon S3 bucket?(Choose Multiple Option)
For backup data from accidental deletion
You have a set of users or customers who can access the second bucket with lower latency.
For compliance regions, you need to store data in locations at least 300 miles away.
Data needs at least five nines of durability.
Which AWS database service is best suited for non-relational databases ?
Amazon redshift
Amazon RDS
Amazon Glacier
Amazon DynamoDB
Which Amazon RDS database engines support Multi-AZ?
Microsoft SQL server, MySQL and oracle
Oracle, Amazon Aurora and postgreSQL
mySQL
All
You are building the database tier for an enterprise application that gets occasional activity throughout the day. Which storage type should you select as your default option?
Magnetic storage
General purpose SSD
Provisioned IOPS
SAN attached
Which of the following is not a NoSQL database?
SQL Server
MongoDB
Cassandra
None of the mentioned
Which of the following are the simplest NoSQL databases?
Key-value
Wide-column
Document
All of the mentioned
Spark is developed in which language
Java
Scala
Python
R
Spark Streaming the data can be from what all sources?
Kafka
Flume
Kinesis
All of the above
Apache Spark has API's in
java
Scala
Python
All of the above
Which of the following is not the feature of Spark?
Supports in-memory computation
Fault-tolerance
It is cost efficient
Compatible with other file storage system
Which is the abstraction of Apache Spark?
Shared Variable
RDD
Both
Which of the following is not true for Hadoop and Spark?
Both are data processing platforms
Both are cluster computing environments
Both have their own file system
Both use open source APIs to link between different tools
In addition to stream processing jobs, what all functionality does Spark provide?
Machine learning
Graph processing
Batch Processing
All of the above
