Azure operators in Apache Airflow - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the Azure Blob Storage operator in Airflow.

Apache Airflow

from airflow.providers.microsoft.azure.operators.blob import [1]

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

AAzureBlobStorageOperator

BAzureBlobOperator

CAzureBlobStorageHook

DAzureBlobClient

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'AzureBlobOperator' which does not exist.

Confusing operator with hook or client classes.

The correct import is AzureBlobStorageOperator, which is the operator to interact with Azure Blob Storage in Airflow.

2fill in blank

medium

Complete the code to create an Azure Data Lake Storage operator with the correct task ID.

Apache Airflow

upload_task = AzureDataLakeStorageUploadOperator(task_id='[1]', ...)

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

Adelete_adls_file

Bdownload_from_adls

Cadls_list_files

Dupload_to_adls

Attempts:

3 left

💡 Hint

Common Mistakes

Using task IDs that describe downloading or deleting instead of uploading.

Using generic or unrelated task IDs.

The task ID should describe the task action. Since this operator uploads, upload_to_adls is the best choice.

3fill in blank

hard

Fix the error in the Azure Data Factory operator instantiation by completing the missing parameter.

Apache Airflow

adf_run = AzureDataFactoryRunPipelineOperator(pipeline_name='my_pipeline', [1]='my_resource_group', ...)

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

Aresource_group_name

BresourceGroup

Cresource_group

Dresourcegroupname

Attempts:

3 left

💡 Hint

Common Mistakes

Using camelCase or concatenated parameter names.

Misspelling the parameter name.

The correct parameter name is resource_group_name as per Airflow Azure Data Factory operator documentation.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that filters Azure Blob Storage blobs with size greater than 1000.

Apache Airflow

filtered_blobs = {blob.name: blob.size for blob in blobs if blob.size [1] [2]

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

A>

B1000

C<

D500

Attempts:

3 left

💡 Hint

Common Mistakes

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

Using wrong size value.

The condition filters blobs with size greater than 1000, so the operator is > and the value is 1000.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps container names to blob counts where blob count is greater than 10.

Apache Airflow

container_blob_counts = {container.name: [1] for container, [2] in containers.items() if [3] > 10}

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

Ablob_count

Dcontainer_count

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names causing errors.

Using unrelated variable names like container_count.

All blanks relate to the variable blob_count which holds the count of blobs per container. The comprehension filters containers with blob counts greater than 10.