Why Hadoop security protects sensitive data - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to specify the Hadoop configuration property for enabling security.

Hadoop

conf.set("hadoop.security.authentication", "[1]")

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Akerberos

Bnone

Csimple

Danonymous

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'simple' disables security, which is not recommended for sensitive data.

Setting hadoop.security.authentication to kerberos enables secure authentication in Hadoop.

2fill in blank

medium

Complete the code to set the Hadoop property that enables data encryption at rest.

Hadoop

conf.setBoolean("[1]", true)

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Adfs.encrypt.data.at.rest

Bdfs.encrypt.data.at.rest.enabled

Cdfs.encryption.enabled

Ddfs.encrypt.data.transfer

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing encryption at rest with encryption during data transfer.

The property dfs.encrypt.data.at.rest.enabled enables encryption of data stored in HDFS, protecting sensitive data at rest.

3fill in blank

hard

Fix the error in the code that sets the Hadoop property for enabling audit logging.

Hadoop

conf.set("hadoop.security.audit.logger", "[1]")

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Aorg.apache.hadoop.security.audit.AuditLoggerImpl.class

Borg.apache.hadoop.security.audit.AuditLogger

Corg.apache.hadoop.security.audit.AuditLoggerImpl$

Dorg.apache.hadoop.security.audit.AuditLoggerImpl

Attempts:

3 left

💡 Hint

Common Mistakes

Adding '.class' or '$' suffix causes runtime errors.

The correct class for audit logging is org.apache.hadoop.security.audit.AuditLoggerImpl, which enables audit logs to track access to sensitive data.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps user names to their encrypted home directories if their name length is greater than 4.

Hadoop

{user: home_dir[1] for user, home_dir in user_dirs.items() if len(user) [2] 4}

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A.encrypt()

B.decrypt()

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using '.decrypt()' instead of '.encrypt()' or wrong comparison operator.

This comprehension encrypts home directories for users whose names are longer than 4 characters, protecting sensitive data.

5fill in blank

hard

Fill all three blanks to create a dictionary that stores file names as keys in uppercase, their sizes as values, but only for files larger than 1000 bytes.

Hadoop

{ [1]: [2] for [3], size in files.items() if size > 1000 }

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Afilename.upper()

Bsize

Cfilename

Dfile

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong variable names or not converting keys to uppercase.

This dictionary comprehension creates keys as uppercase file names and values as their sizes, filtering files larger than 1000 bytes to protect important data.