Buckets and objects concept in GCP - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a new storage bucket in Google Cloud Storage.

GCP

from google.cloud import storage

client = storage.Client()
bucket = client.[1]('my-new-bucket')

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

Acreate_bucket

Bget_bucket

Clist_buckets

Ddelete_bucket

Attempts:

3 left

💡 Hint

Common Mistakes

Using get_bucket instead of create_bucket will try to access an existing bucket.

list_buckets lists all buckets but does not create one.

delete_bucket removes a bucket, not creates it.

The create_bucket method creates a new bucket in Google Cloud Storage.

2fill in blank

medium

Complete the code to upload a file to a bucket as an object.

GCP

bucket = client.get_bucket('my-existing-bucket')
blob = bucket.blob('folder/myfile.txt')
blob.[1]('localfile.txt')

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

Aupload_from_filename

Bcopy_to

Cdelete

Ddownload_to_filename

Attempts:

3 left

💡 Hint

Common Mistakes

Using download_to_filename downloads the object instead of uploading.

delete removes the object, not uploads.

copy_to copies an object, not uploads a local file.

The upload_from_filename method uploads a local file to the blob (object) in the bucket.

3fill in blank

hard

Fix the error in the code to list all objects in a bucket.

GCP

bucket = client.get_bucket('my-bucket')
blobs = bucket.[1]()
for blob in blobs:
    print(blob.name)

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

Aget_objects

Bget_blobs

Clist_objects

Dlist_blobs

Attempts:

3 left

💡 Hint

Common Mistakes

Using get_blobs or get_objects causes errors because these methods do not exist.

list_objects is not a valid method in this client library.

The correct method to list objects in a bucket is list_blobs.

4fill in blank

hard

Fill both blanks to delete an object from a bucket.

GCP

bucket = client.get_bucket('my-bucket')
blob = bucket.[1]('my-object.txt')
blob.[2]()

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

Ablob

Bdelete

Cget_blob

Dupload_from_filename

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'blob' instead of 'get_blob' will cause errors.

Using 'upload_from_filename' does not delete objects.

Use get_blob to get the object, then delete to remove it.

5fill in blank

hard

Fill all three blanks to copy an object to another bucket.

GCP

source_bucket = client.get_bucket('source-bucket')
source_blob = source_bucket.[1]('file.txt')
destination_bucket = client.get_bucket('destination-bucket')
destination_blob = destination_bucket.blob('file.txt')
source_blob.[2](destination_blob)
print('File copied to', [3].name)

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

Aget_blob

Bcopy_to

Cdestination_blob

Dupload_from_filename

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'upload_from_filename' instead of 'copy_to' will not copy the object.

Printing the source blob's name instead of destination blob's name is incorrect.

First get the source object with get_blob, then use copy_to to copy it to the destination blob. Finally, print the destination blob's name.

Practice

1. What is a bucket in Google Cloud Storage?

easy

A. A database for storing records

B. A type of virtual machine

C. A container that holds your files (objects) in the cloud

D. A network firewall rule

Solution

1. Step 1: Understand the role of buckets

   Buckets are used to organize and store files in cloud storage.

2. Step 2: Differentiate buckets from other services

   Unlike virtual machines or databases, buckets specifically hold files called objects.

3. Final Answer:

   A container that holds your files (objects) in the cloud -> Option C

4. Quick Check:

   Bucket = container for files [OK]

Hint: Buckets hold files; think of them as folders in the cloud [OK]

Common Mistakes:

• Confusing buckets with virtual machines
• Thinking buckets are databases
• Mixing buckets with network settings

2. Which command correctly creates a new bucket named my-bucket in Google Cloud Storage using the gcloud CLI?

easy

A. gcloud storage buckets create my-bucket

B. gcloud create bucket my-bucket

C. gcloud storage create-bucket my-bucket

D. gcloud bucket create my-bucket

Solution

1. Step 1: Recall the correct gcloud syntax for bucket creation

   The correct command uses 'gcloud storage buckets create' followed by the bucket name.

2. Step 2: Compare options to syntax

   Only gcloud storage buckets create my-bucket matches the correct syntax exactly.

3. Final Answer:

   gcloud storage buckets create my-bucket -> Option A

4. Quick Check:

   Correct gcloud bucket creation command = gcloud storage buckets create my-bucket [OK]

Hint: Use 'gcloud storage buckets create' to make buckets [OK]

Common Mistakes:

• Using wrong command order
• Missing 'storage' keyword
• Using 'bucket' instead of 'buckets'

3. Given the following Python code using Google Cloud Storage client library:

from google.cloud import storage
client = storage.Client()
bucket = client.get_bucket('my-bucket')
blob = bucket.blob('file.txt')
blob.upload_from_string('Hello World')

What does this code do?

medium

A. Creates a new bucket named 'my-bucket'

B. Uploads a file named 'file.txt' with content 'Hello World' to 'my-bucket'

C. Deletes the file 'file.txt' from 'my-bucket'

D. Downloads the file 'file.txt' from 'my-bucket'

Solution

1. Step 1: Analyze the code actions

   The code gets an existing bucket 'my-bucket', creates a blob (file) named 'file.txt', and uploads the string 'Hello World' as its content.

2. Step 2: Match code behavior to options

   It uploads a file with given content, so Uploads a file named 'file.txt' with content 'Hello World' to 'my-bucket' is correct.

3. Final Answer:

   Uploads a file named 'file.txt' with content 'Hello World' to 'my-bucket' -> Option B

4. Quick Check:

   blob.upload_from_string uploads content to bucket [OK]

Hint: upload_from_string means upload file content as string [OK]

Common Mistakes:

• Thinking it creates a bucket
• Confusing upload with download
• Assuming it deletes the file

4. You run the command gsutil cp file.txt gs://my-bucket/ but get an error saying the bucket does not exist. What is the most likely cause?

medium

A. The file 'file.txt' does not exist locally

B. The gsutil command is misspelled

C. You do not have permission to read 'file.txt'

D. The bucket 'my-bucket' was not created yet

Solution

1. Step 1: Understand the error message

   The error says the bucket does not exist, so the problem is with the bucket, not the file.

2. Step 2: Identify the cause

   If the bucket was not created, gsutil cannot copy files there, causing the error.

3. Final Answer:

   The bucket 'my-bucket' was not created yet -> Option D

4. Quick Check:

   Bucket must exist before uploading files [OK]

Hint: Bucket must exist before copying files there [OK]

Common Mistakes:

• Assuming local file missing causes bucket error
• Blaming permissions without checking bucket existence
• Thinking gsutil command is wrong

5. You want to organize files by year inside a bucket named archive-bucket. Which object name structure best supports easy retrieval of files from 2023?

hard

A. "2023/report.pdf"

B. "report_2023.pdf"

C. "archive-bucket/2023/report.pdf"

D. "/2023/report.pdf"

Solution

1. Step 1: Understand object naming in buckets

   Objects are stored inside buckets with names that can include slashes to simulate folders.

2. Step 2: Evaluate naming options for organization

   "2023/report.pdf" uses a folder-like prefix '2023/' which helps group files by year inside the bucket.

3. Step 3: Eliminate incorrect options

   "report_2023.pdf" mixes year in filename, less organized; C repeats bucket name in object; D starts with slash which is invalid.

4. Final Answer:

   "2023/report.pdf" -> Option A

5. Quick Check:

   Use folder-like prefixes for organization [OK]

Hint: Use folder-like prefixes (e.g., '2023/') in object names [OK]

Common Mistakes:

• Including bucket name in object name
• Starting object name with slash
• Putting year only in filename, not as prefix