Table creation with AWS SDK in DynamoDB - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to specify the AWS SDK method to create a DynamoDB table.

DynamoDB

const params = { TableName: 'Users', KeySchema: [{ AttributeName: 'UserId', KeyType: 'HASH' }], AttributeDefinitions: [{ AttributeName: 'UserId', AttributeType: 'S' }], ProvisionedThroughput: { ReadCapacityUnits: 5, WriteCapacityUnits: 5 } };
dynamodb.[1](params, function(err, data) { if (err) console.log(err); else console.log(data); });

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AdeleteTable

BlistTables

CupdateTable

DcreateTable

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'deleteTable' instead of 'createTable'.

Using 'listTables' which only lists existing tables.

The method to create a DynamoDB table using AWS SDK is 'createTable'.

2fill in blank

medium

Complete the code to specify the primary key attribute type for the DynamoDB table.

DynamoDB

const params = { TableName: 'Orders', KeySchema: [{ AttributeName: 'OrderId', KeyType: 'HASH' }], AttributeDefinitions: [{ AttributeName: 'OrderId', AttributeType: '[1]' }], ProvisionedThroughput: { ReadCapacityUnits: 5, WriteCapacityUnits: 5 } };

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AB

BN

CS

DBOOL

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'BOOL' which is not valid for key attributes.

Using 'B' which stands for Binary but is less common.

The primary key attribute type 'S' stands for String, which is commonly used for IDs.

3fill in blank

hard

Fix the error in the ProvisionedThroughput configuration by completing the missing property name.

DynamoDB

const params = { TableName: 'Products', KeySchema: [{ AttributeName: 'ProductId', KeyType: 'HASH' }], AttributeDefinitions: [{ AttributeName: 'ProductId', AttributeType: 'S' }], ProvisionedThroughput: { [1]: 10, WriteCapacityUnits: 10 } };

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AReadCapacityUnits

BReadUnits

CReadThroughput

DReadCapacity

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'ReadUnits' which is not a valid property.

Using 'ReadCapacity' missing 'Units' suffix.

The correct property name for read capacity is 'ReadCapacityUnits'.

4fill in blank

hard

Fill both blanks to define a global secondary index with a partition key and projection type.

DynamoDB

const params = { TableName: 'Employees', KeySchema: [{ AttributeName: 'EmployeeId', KeyType: 'HASH' }], AttributeDefinitions: [{ AttributeName: 'EmployeeId', AttributeType: 'S' }, { AttributeName: 'Department', AttributeType: 'S' }], GlobalSecondaryIndexes: [{ IndexName: 'DeptIndex', KeySchema: [{ AttributeName: '[1]', KeyType: 'HASH' }], Projection: { ProjectionType: '[2]' }, ProvisionedThroughput: { ReadCapacityUnits: 5, WriteCapacityUnits: 5 } }] };

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ADepartment

BEmployeeId

CALL

DKEYS_ONLY

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'EmployeeId' as index key which is the main table key.

Using 'KEYS_ONLY' when full attributes are needed.

The global secondary index uses 'Department' as partition key and 'ALL' to project all attributes.

5fill in blank

hard

Fill all three blanks to create a DynamoDB table with a composite primary key and set throughput.

DynamoDB

const params = { TableName: 'Sales', KeySchema: [{ AttributeName: '[1]', KeyType: 'HASH' }, { AttributeName: '[2]', KeyType: 'RANGE' }], AttributeDefinitions: [{ AttributeName: '[1]', AttributeType: 'S' }, { AttributeName: '[2]', AttributeType: 'N' }], ProvisionedThroughput: { ReadCapacityUnits: 20, WriteCapacityUnits: 10 } };

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AOrderId

BTimestamp

CCustomerId

DProductId

Attempts:

3 left

💡 Hint

Common Mistakes

Using the same attribute for both HASH and RANGE keys.

Mismatching attribute types in AttributeDefinitions.

The composite key uses 'CustomerId' as partition key (HASH) and 'Timestamp' as sort key (RANGE). Both attributes are defined with correct types.