Security recommendations and score in Azure - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to retrieve the security score from Azure Security Center.

Azure

security_score = client.security_scores.get('[1]')

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Adefault

Bcurrent

Clatest

Dsummary

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'default' which does not specify the latest score.

Using 'summary' which is not a valid parameter here.

The latest parameter retrieves the most recent security score.

2fill in blank

medium

Complete the code to list all security recommendations for a subscription.

Azure

recommendations = client.security_recommendations.list('[1]')

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AsubscriptionId

BresourceGroupName

CmanagementGroupId

DtenantId

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'resourceGroupName' which scopes too narrowly.

Using 'tenantId' which is broader than subscription.

The subscriptionId is required to list recommendations for that subscription.

3fill in blank

hard

Fix the error in the code to correctly fetch security recommendations with filters.

Azure

filtered_recommendations = client.security_recommendations.list(filter='[1]')

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Aseverity eq 'High' and state eq 'Active'

Bseverity == 'High' and state == 'Active'

Cseverity = 'High' and state = 'Active'

Dseverity equals 'High' and state equals 'Active'

Attempts:

3 left

💡 Hint

Common Mistakes

Using '==' which is invalid in OData filters.

Using '=' which is assignment, not comparison.

Azure uses OData filter syntax where eq means equals.

4fill in blank

hard

Fill both blanks to create a dictionary of recommendation names and their states.

Azure

rec_states = {rec.[1]: rec.[2] for rec in recommendations}

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Aname

Bstate

Cid

Dseverity

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'id' as key which is less readable.

Using 'severity' as value which is not the state.

Use name as the key and state as the value to map recommendations to their states.

5fill in blank

hard

Fill all three blanks to filter and count active high severity recommendations.

Azure

active_high = [rec for rec in recommendations if rec.[1] == '[2]' and rec.[3] == 'Active']
count = len(active_high)

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Aseverity

BHigh

Cstate

Dname

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'name' instead of 'state' for filtering.

Using wrong severity value.

Filter by severity equal to High and state equal to 'Active' to get the count.