Burst capacity in DynamoDB - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is burst capacity in DynamoDB?

Burst capacity is extra read or write throughput that DynamoDB temporarily allows beyond your provisioned capacity to handle sudden traffic spikes.

intermediate

How does DynamoDB accumulate burst capacity?

DynamoDB accumulates burst capacity when your usage is below your provisioned throughput, saving unused capacity as credits for future bursts.

beginner

Why is burst capacity useful in DynamoDB?

It helps your application handle sudden increases in traffic without throttling, improving performance during short spikes.

intermediate

What happens when burst capacity is exhausted in DynamoDB?

When burst capacity runs out, DynamoDB throttles requests that exceed your provisioned throughput until capacity is available again.

beginner

Can burst capacity be used indefinitely in DynamoDB?

No, burst capacity is limited and only lasts for short periods. It depends on how much unused capacity was saved previously.

What does burst capacity in DynamoDB allow you to do?

A Temporarily exceed provisioned throughput during traffic spikes

B Permanently increase your table size

C Automatically backup your data

D Encrypt your data at rest

Burst capacity lets you temporarily use more throughput than provisioned to handle sudden traffic increases.

How is burst capacity earned in DynamoDB?

A By enabling encryption

B By paying extra fees

C By increasing your table's read capacity units

D By using less than your provisioned throughput

Unused throughput below your provisioned capacity accumulates as burst capacity credits.

What happens if your application uses more throughput than provisioned and burst capacity is empty?

A Data is lost

B DynamoDB automatically increases capacity

C Requests are throttled

D The table is deleted

Requests exceeding capacity without burst credits are throttled to protect the database.

Burst capacity in DynamoDB is best described as:

A Temporary extra throughput credits

B A backup feature

C A permanent increase in throughput

D A security setting

Burst capacity provides temporary extra throughput credits for short traffic spikes.

Which of the following affects how much burst capacity you have?

A The number of indexes on your table

B How much unused throughput you have saved

C The size of your items

D The encryption method used

Burst capacity depends on how much unused throughput you have accumulated as credits.

Explain what burst capacity is in DynamoDB and why it is important.

Think about how DynamoDB manages sudden increases in traffic.

Describe what happens when your DynamoDB table uses up all its burst capacity.

Consider what DynamoDB does to protect itself from overload.

Practice

1. What is the main purpose of burst capacity in DynamoDB?

easy

A. To backup data automatically

B. To permanently increase table throughput

C. To handle sudden spikes in traffic smoothly

D. To reduce storage costs

Solution

1. Step 1: Understand burst capacity concept

   Burst capacity allows DynamoDB to use unused capacity from earlier low traffic periods.

2. Step 2: Identify its main use

   This helps handle sudden traffic spikes smoothly without extra setup.

3. Final Answer:

   To handle sudden spikes in traffic smoothly -> Option C

4. Quick Check:

   Burst capacity = handle spikes [OK]

Hint: Burst capacity smooths sudden traffic spikes [OK]

Common Mistakes:

• Thinking burst capacity permanently increases throughput
• Confusing burst capacity with backup or storage features
• Assuming manual code is needed to use burst capacity

2. Which of the following statements about DynamoDB burst capacity is syntactically correct?

easy

A. BurstCapacity: enabled

B. ProvisionedThroughput: { ReadCapacityUnits: 5, WriteCapacityUnits: 5 }

C. EnableBurstCapacity = true

D. SetBurstCapacity(5)

Solution

1. Step 1: Check valid DynamoDB syntax

   ProvisionedThroughput with ReadCapacityUnits and WriteCapacityUnits is valid for table setup.

2. Step 2: Identify invalid options

   Options B, C, and D are not valid DynamoDB syntax or parameters.

3. Final Answer:

   <code>ProvisionedThroughput: { ReadCapacityUnits: 5, WriteCapacityUnits: 5 }</code> -> Option B

4. Quick Check:

   Valid syntax = ProvisionedThroughput: { ReadCapacityUnits: 5, WriteCapacityUnits: 5 } [OK]

Hint: Only ProvisionedThroughput syntax is valid here [OK]

Common Mistakes:

• Assuming burst capacity needs explicit enabling syntax
• Using incorrect parameter names
• Confusing configuration with method calls

3. Consider a DynamoDB table with provisioned read capacity of 10 units. The table has been idle for a while, accumulating unused capacity. Suddenly, a spike causes 15 read requests per second. What will happen?

medium

A. The table will reject all requests during the spike

B. The table will throttle all requests above 10 units immediately

C. The table will automatically increase provisioned capacity to 15 units

D. The table will use burst capacity to handle some requests above 10 units

Solution

1. Step 1: Understand idle capacity accumulation

   Unused capacity from idle periods accumulates as burst capacity credits.

2. Step 2: Apply burst capacity during spike

   When requests exceed provisioned units, DynamoDB uses burst capacity to handle some extra requests smoothly.

3. Final Answer:

   The table will use burst capacity to handle some requests above 10 units -> Option D

4. Quick Check:

   Burst capacity handles spikes above provisioned [OK]

Hint: Burst capacity covers temporary spikes above provisioned [OK]

Common Mistakes:

• Thinking DynamoDB instantly throttles above provisioned units
• Assuming automatic permanent capacity increase
• Believing all requests are rejected during spikes

4. You notice your DynamoDB table is throttling requests during a traffic spike, even though it was idle before. What is the most likely cause?

medium

A. Burst capacity credits were already used up before the spike

B. Provisioned throughput is set too high

C. Burst capacity must be manually enabled

D. The table is in on-demand mode

Solution

1. Step 1: Analyze burst capacity usage

   Burst capacity depends on unused capacity credits accumulated during idle times.

2. Step 2: Reason about throttling cause

   If credits are used up, the table cannot handle spikes beyond provisioned throughput, causing throttling.

3. Final Answer:

   Burst capacity credits were already used up before the spike -> Option A

4. Quick Check:

   Throttling = no burst credits left [OK]

Hint: No burst credits means throttling during spikes [OK]

Common Mistakes:

• Thinking burst capacity needs manual enabling
• Assuming high provisioned throughput causes throttling
• Confusing on-demand mode with provisioned burst capacity

5. A DynamoDB table has a provisioned write capacity of 20 units. It was idle for 10 minutes, then suddenly receives 50 write requests per second for 1 minute. How does burst capacity affect this scenario?

hard

A. Burst capacity allows some requests above 20 units to succeed temporarily

B. Burst capacity automatically increases provisioned capacity to 50 units

C. Burst capacity allows all 50 requests to succeed without throttling

D. Burst capacity does not apply to write requests

Solution

1. Step 1: Understand burst capacity accumulation

   Idle time accumulates unused write capacity credits that can be used in bursts.

2. Step 2: Apply burst capacity during spike

   During the spike, burst capacity allows handling some requests above provisioned 20 units temporarily, but not all 50.

3. Final Answer:

   Burst capacity allows some requests above 20 units to succeed temporarily -> Option A

4. Quick Check:

   Burst capacity = temporary extra writes above provisioned [OK]

Hint: Burst capacity helps some writes above provisioned temporarily [OK]

Common Mistakes:

• Assuming burst capacity handles all spike requests fully
• Thinking burst capacity increases provisioned throughput permanently
• Believing burst capacity applies only to reads