Complete the code to scan all items from the DynamoDB table named 'Products'.
response = dynamodb_client.[1](TableName='Products')
The scan operation reads all items in the table. Other operations like query or get_item are for specific keys or queries.
Complete the code to scan the 'Users' table and get only the 'UserId' and 'Email' attributes.
response = dynamodb_client.scan(TableName='Users', ProjectionExpression='[1]')
The ProjectionExpression expects attribute names separated by commas without quotes.
Fix the error in the scan call to filter items where 'Status' equals 'Active'.
response = dynamodb_client.scan(TableName='Orders', FilterExpression='[1] = :status', ExpressionAttributeValues={':status': {'S': 'Active'}})
The attribute name in FilterExpression should be the exact attribute name without prefix unless using expression attribute names.
Fill both blanks to scan the 'Employees' table and return only employees with 'Age' greater than 30.
response = dynamodb_client.scan(TableName='Employees', FilterExpression='[1] > :age', ExpressionAttributeValues={':age': {'N': '[2]'}})
The filter expression uses the attribute name 'Age' and the value '30' to filter employees older than 30.
Fill all three blanks to scan the 'Books' table, projecting 'Title' and 'Author', and filtering books published after 2010.
response = dynamodb_client.scan(TableName='Books', ProjectionExpression='[1], [2]', FilterExpression='[3] > :year', ExpressionAttributeValues={':year': {'N': '2010'}})
The projection expression lists 'Title' and 'Author'. The filter expression uses 'PublishedYear' to filter books after 2010.