Tables, items, and attributes in AWS - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a DynamoDB table with a primary key.

AWS

aws dynamodb create-table --table-name Users --attribute-definitions AttributeName=UserId,AttributeType=S --key-schema AttributeName=[1],KeyType=HASH --provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5

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

AUserId

BUsername

CEmail

DId

Attempts:

3 left

💡 Hint

Common Mistakes

Using an attribute name not defined in attribute-definitions.

The primary key attribute name must match the attribute defined in the attribute definitions. Here, 'UserId' is the correct primary key.

2fill in blank

medium

Complete the code to add an item with a string attribute 'Name' to the DynamoDB table.

AWS

aws dynamodb put-item --table-name Users --item '{"UserId": {"S": "123"}, "Name": [1]'

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

A{"B": "John"}

B{"BOOL": "John"}

C{"S": "John"}

D{"N": "John"}

Attempts:

3 left

💡 Hint

Common Mistakes

Using number or boolean type for string attributes.

String attributes in DynamoDB are represented with the 'S' type.

3fill in blank

hard

Fix the error in the code to query items by 'UserId' equals '123'.

AWS

aws dynamodb query --table-name Users --key-condition-expression "UserId = [1]" --expression-attribute-values '{":v1": {"S": "123"}}'

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

A":v1"

B"123"

C:v1

DUserId

Attempts:

3 left

💡 Hint

Common Mistakes

Using the raw value instead of the placeholder in the expression.

The key condition expression must use the placeholder ':v1' with a colon and quotes.

4fill in blank

hard

Fill both blanks to update the 'Email' attribute of an item with 'UserId' 123.

AWS

aws dynamodb update-item --table-name Users --key '{"UserId": {"S": "123"}}' --update-expression "SET [1] = :email" --expression-attribute-values '{":email": {"S": [2]'

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

AEmail

B"[e-mail]"

C"[e-mail]"

DName

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong attribute name or missing quotes around the new email.

The update expression must set the 'Email' attribute, and the new email value must be a string in quotes.

5fill in blank

hard

Fill all three blanks to create a table with a composite primary key: partition key 'UserId' and sort key 'Timestamp'.

AWS

aws dynamodb create-table --table-name UserActivity --attribute-definitions AttributeName=[1],AttributeType=S AttributeName=[2],AttributeType=N --key-schema AttributeName=[3],KeyType=HASH AttributeName=Timestamp,KeyType=RANGE --provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5

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

AUserId

BActivity

DTimestamp

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing attribute names or types, or incorrect key schema roles.

The attribute definitions must include both 'UserId' (string) and 'Timestamp' (number). The key schema uses 'UserId' as HASH (partition key) and 'Timestamp' as RANGE (sort key).

Practice

1. What is the main purpose of a table in AWS DynamoDB?

easy

A. To store items, which are records

B. To run code functions

C. To manage user permissions

D. To host websites

Solution

1. Step 1: Understand the role of a table in DynamoDB

   A table is a container that holds items, which are like rows in a database.

2. Step 2: Identify the correct purpose

   Since tables store items (records), this matches To store items, which are records.

3. Final Answer:

   To store items, which are records -> Option A

4. Quick Check:

   Table = container for items [OK]

Hint: Tables hold records called items [OK]

Common Mistakes:

• Confusing tables with code functions
• Thinking tables manage permissions
• Assuming tables host websites

2. Which of the following is the correct way to define an item attribute in DynamoDB?

easy

A. ("Name", "John", "Age", 30)

B. {"Name": "John", "Age": 30}

C. ["Name", "John", "Age", 30]

D. "Name": "John", "Age": 30

Solution

1. Step 1: Recognize the attribute format

   Attributes are key-value pairs, best represented as JSON objects with keys and values.

2. Step 2: Match the correct syntax

   {"Name": "John", "Age": 30} shows a JSON object with keys "Name" and "Age" and their values, which is correct.

3. Final Answer:

   {"Name": "John", "Age": 30} -> Option B

4. Quick Check:

   Attributes = key-value pairs in JSON [OK]

Hint: Attributes are key-value pairs in JSON format [OK]

Common Mistakes:

• Using arrays instead of key-value pairs
• Using tuples instead of objects
• Omitting braces for JSON objects

3. Given a DynamoDB table with primary key "UserID", what happens if you try to add two items with the same UserID but different attributes?

medium

A. Both items are stored separately

B. The table creates a duplicate primary key

C. An error is thrown and no item is added

D. The second item overwrites the first item

Solution

1. Step 1: Understand primary key uniqueness

   In DynamoDB, the primary key must be unique for each item in the table.

2. Step 2: Effect of duplicate primary key

   If you add an item with an existing primary key, it replaces the old item with the new one.

3. Final Answer:

   The second item overwrites the first item -> Option D

4. Quick Check:

   Duplicate key = overwrite existing item [OK]

Hint: Duplicate primary keys overwrite existing items [OK]

Common Mistakes:

• Thinking both items are stored separately
• Expecting an error on duplicate keys
• Assuming duplicates are allowed

4. You try to insert an item into a DynamoDB table but get an error. The item has no primary key attribute. What is the most likely cause?

medium

A. Missing required primary key attribute in the item

B. Table is full and cannot accept new items

C. Attributes have invalid data types

D. You exceeded the maximum number of attributes

Solution

1. Step 1: Recall primary key requirement

   Every item must have the primary key attribute to be uniquely identified in the table.

2. Step 2: Identify cause of error

   If the item lacks the primary key attribute, DynamoDB rejects it with an error.

3. Final Answer:

   Missing required primary key attribute in the item -> Option A

4. Quick Check:

   Primary key missing causes insert error [OK]

Hint: Every item must include the primary key attribute [OK]

Common Mistakes:

• Assuming table capacity causes insert errors
• Blaming attribute data types without checking keys
• Thinking attribute count limits cause this error

5. You want to design a DynamoDB table to store user profiles. Each user has a unique UserID and may have multiple email addresses. How should you structure the table and items to handle this?

hard

A. Use email as the primary key and ignore UserID

B. Use UserID as the primary key and create a separate item for each email

C. Use UserID as the primary key and store emails as a list attribute inside each item

D. Create multiple tables, one per email address

Solution

1. Step 1: Identify unique identifier

   UserID uniquely identifies each user, so it should be the primary key.

2. Step 2: Store multiple emails

   Since a user can have multiple emails, store them as a list attribute inside the user item.

3. Step 3: Evaluate other options

   Creating separate items per email duplicates UserID or loses uniqueness; using email as key ignores UserID; multiple tables is inefficient.

4. Final Answer:

   Use UserID as the primary key and store emails as a list attribute inside each item -> Option C

5. Quick Check:

   Primary key + list attribute for multiple values [OK]

Hint: Use primary key for user, list attribute for multiple emails [OK]

Common Mistakes:

• Using email as primary key instead of UserID
• Creating multiple items for one user
• Making multiple tables unnecessarily