Index capacity and cost in DynamoDB - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to specify the type of index when creating a DynamoDB table.

DynamoDB

TableName: 'Music',
KeySchema: [
  { AttributeName: 'Artist', KeyType: 'HASH' },
  { AttributeName: 'SongTitle', KeyType: 'RANGE' }
],
GlobalSecondaryIndexes: [{
  IndexName: 'GenreIndex',
  KeySchema: [
    { AttributeName: 'Genre', KeyType: 'HASH' }
  ],
  Projection: { ProjectionType: 'ALL' },
  ProvisionedThroughput: {
    ReadCapacityUnits: 5,
    WriteCapacityUnits: 5
  },
  IndexType: '[1]'
}]

Drag options to blanks, or click blank then click option'

AGLOBAL

BPRIMARY

CSECONDARY

DLOCAL

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing local and global index types.

Using PRIMARY as an index type which is invalid.

The correct index type for a global secondary index is GLOBAL. Local secondary indexes use LOCAL.

2fill in blank

medium

Complete the code to set the read capacity units for a DynamoDB table.

DynamoDB

ProvisionedThroughput: {
  ReadCapacityUnits: [1],
  WriteCapacityUnits: 10
}

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A-1

B0

Cnull

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Setting capacity units to zero or negative values.

Using null instead of a number.

Read capacity units must be a positive integer. 5 is a valid value.

3fill in blank

hard

Fix the error in the code by choosing the correct attribute to project in the index.

DynamoDB

Projection: {
  ProjectionType: '[1]'
}

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AALL

BKEYS_ONLY

CINCLUDE

DNONE

Attempts:

3 left

💡 Hint

Common Mistakes

Using NONE which is invalid.

Confusing INCLUDE with ALL.

The ALL projection type includes all attributes from the base table in the index.

4fill in blank

hard

Fill both blanks to correctly define the provisioned throughput for a global secondary index.

DynamoDB

ProvisionedThroughput: {
  ReadCapacityUnits: [1],
  WriteCapacityUnits: [2]
}

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A10

B5

C20

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Setting capacity units to zero.

Using the same value for both read and write units without reason.

Read capacity units are set to 5 and write capacity units to 10 for balanced throughput.

5fill in blank

hard

Fill all three blanks to create a dictionary that maps index names to their read capacity units, filtering only indexes with read capacity greater than 5.

DynamoDB

index_read_capacity = {index['IndexName']: index['ProvisionedThroughput']['ReadCapacityUnits'] for index in indexes if index['ProvisionedThroughput']['ReadCapacityUnits'] [1] [2]

filtered_index_read_capacity = {k: v for k, v in index_read_capacity.items() if v [3] 5}

Drag options to blanks, or click blank then click option'

A>

B10

C>=

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' instead of '>' causing wrong filtering.

Using '>=' when only '>' is needed.

The first condition filters indexes with read capacity units greater than 10, and the second filters those with values greater than 5.