AWS Cost Explorer basics - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to start a Cost Explorer query for daily costs.

AWS

response = client.get_cost_and_usage(TimePeriod={'Start': '2023-01-01', 'End': '2023-01-31'}, Granularity='[1]', Metrics=['UnblendedCost'])

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

AHOURLY

BMONTHLY

CYEARLY

DDAILY

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'MONTHLY' when daily data is needed

Using invalid granularity values

The Granularity parameter controls the time interval for the cost data. 'DAILY' returns daily cost data.

2fill in blank

medium

Complete the code to filter the Cost Explorer query by service name 'Amazon EC2'.

AWS

response = client.get_cost_and_usage(TimePeriod={'Start': '2023-01-01', 'End': '2023-01-31'}, Granularity='DAILY', Metrics=['UnblendedCost'], Filter={'Dimensions': {'Key': 'SERVICE', 'Values': [[1]]}})

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

A'Amazon S3'

B'AWS Lambda'

C'Amazon EC2'

D'Amazon RDS'

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong service names

Forgetting quotes around the service name

The filter uses the service name to limit results. Here, 'Amazon EC2' filters costs for EC2 only.

3fill in blank

hard

Fix the error in the code to correctly request cost data grouped by linked account.

AWS

response = client.get_cost_and_usage(TimePeriod={'Start': '2023-02-01', 'End': '2023-02-28'}, Granularity='MONTHLY', Metrics=['UnblendedCost'], GroupBy=[{'Type': 'DIMENSION', 'Key': [1]])

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

A'LINKED_ACCOUNT'

B'SERVICE'

C'USAGE_TYPE'

D'REGION'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'SERVICE' instead of 'LINKED_ACCOUNT'

Using invalid keys

To group costs by linked account, the GroupBy key must be 'LINKED_ACCOUNT'.

4fill in blank

hard

Fill both blanks to create a filter that includes costs only for the 'us-east-1' region and excludes 'Amazon S3' service.

AWS

Filter={'And': [{'Dimensions': {'Key': '[1]', 'Values': ['us-east-1']}}, {'Not': {'Dimensions': {'Key': '[2]', 'Values': ['Amazon S3']}}}]}

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AREGION

BSERVICE

CUSAGE_TYPE

DLINKED_ACCOUNT

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up REGION and SERVICE keys

Not using 'Not' for exclusion

The first filter uses 'REGION' to select 'us-east-1'. The second uses 'SERVICE' inside a 'Not' to exclude 'Amazon S3'.

5fill in blank

hard

Fill all three blanks to build a Cost Explorer query that groups by service, filters for costs greater than 10 USD, and uses monthly granularity.

AWS

response = client.get_cost_and_usage(TimePeriod={'Start': '2023-03-01', 'End': '2023-03-31'}, Granularity='[1]', Metrics=['UnblendedCost'], GroupBy=[{'Type': '[2]', 'Key': '[3]'}], Filter={'Numeric': {'Key': 'UnblendedCost', 'Operator': 'GREATER_THAN', 'Value': 10}})

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

ADAILY

BMONTHLY

CDIMENSION

DSERVICE

Attempts:

3 left

💡 Hint

Common Mistakes

Using DAILY instead of MONTHLY

Wrong GroupBy type or key

Granularity is 'MONTHLY' for monthly data. GroupBy type is 'DIMENSION' and key is 'SERVICE' to group costs by service.