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DynamoDBquery~5 mins

Reserved capacity in DynamoDB - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is Reserved Capacity in DynamoDB?
Reserved Capacity is a way to pre-pay for a set amount of read and write capacity units in DynamoDB, which can save money compared to on-demand pricing.
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beginner
How does Reserved Capacity help with cost management?
By committing to a fixed amount of capacity for a 1 or 3 year term, you get a discount on the hourly rate compared to on-demand usage, helping to reduce costs if your usage is steady.
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intermediate
Can Reserved Capacity be shared across multiple DynamoDB tables?
Yes, Reserved Capacity is applied at the AWS account level within a region, so multiple tables can share the reserved capacity you purchase.
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intermediate
What happens if your application exceeds the Reserved Capacity limits?
If your usage goes beyond the reserved capacity, DynamoDB will charge you at the on-demand rate for the extra capacity used.
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beginner
What are the term options available for Reserved Capacity in DynamoDB?
You can choose Reserved Capacity terms of either 1 year or 3 years, with longer terms offering bigger discounts.
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What does Reserved Capacity in DynamoDB primarily help you with?
AAutomatically scaling your database
BSaving money by pre-paying for capacity
CBacking up your data
DEncrypting your data
Can Reserved Capacity be used across multiple tables in the same AWS region?
AOnly if tables have the same name
BNo, it applies only to one table
CYes, it is shared across tables in the same region
DOnly for tables in different regions
If your usage exceeds your Reserved Capacity, what happens?
AYou pay on-demand rates for the extra usage
BYou get a refund
CYour database stops working
DAWS automatically increases your reserved capacity
What are the available term lengths for Reserved Capacity in DynamoDB?
A1 year and 3 years
B6 months and 1 year
C3 months and 6 months
DNo fixed terms
Which of the following is NOT a benefit of Reserved Capacity?
ALower hourly cost for capacity
BCapacity sharing across tables
CPredictable billing
DAutomatic scaling of capacity
Explain what Reserved Capacity is in DynamoDB and how it can help reduce costs.
Think about paying upfront for a service to get a better price.
You got /4 concepts.
    Describe how Reserved Capacity is applied across DynamoDB tables and what happens if usage exceeds the reserved amount.
    Consider how a shared resource works and what happens when you use more than you reserved.
    You got /3 concepts.

      Practice

      (1/5)
      1. What is the main benefit of using Reserved Capacity in DynamoDB?
      easy
      A. It automatically scales the database up and down.
      B. It backs up data to another region.
      C. It saves money by pre-paying for database capacity.
      D. It encrypts data at rest.

      Solution

      1. Step 1: Understand Reserved Capacity purpose

        Reserved Capacity allows you to pay upfront for a set amount of database throughput, which reduces costs compared to on-demand pricing.
      2. Step 2: Compare with other options

        Scaling, backup, and encryption are separate features and not related to Reserved Capacity.
      3. Final Answer:

        It saves money by pre-paying for database capacity. -> Option C
      4. Quick Check:

        Reserved Capacity = Cost saving by pre-payment [OK]
      Hint: Reserved Capacity means paying upfront to save money [OK]
      Common Mistakes:
      • Confusing Reserved Capacity with auto-scaling
      • Thinking it manages backups or encryption
      • Assuming it is a query or API feature
      2. Which of the following is the correct way to purchase Reserved Capacity for DynamoDB?
      easy
      A. Through AWS Management Console or AWS CLI
      B. Using a SQL query in DynamoDB console
      C. By calling a DynamoDB API operation
      D. By enabling a setting in the table properties

      Solution

      1. Step 1: Identify how Reserved Capacity is bought

        Reserved Capacity is purchased via the AWS Management Console or AWS CLI, not through database queries or API calls.
      2. Step 2: Eliminate incorrect methods

        SQL queries and table property settings do not handle Reserved Capacity purchases.
      3. Final Answer:

        Through AWS Management Console or AWS CLI -> Option A
      4. Quick Check:

        Reserved Capacity purchase = Console or CLI [OK]
      Hint: Buy Reserved Capacity only via AWS Console or CLI [OK]
      Common Mistakes:
      • Trying to buy Reserved Capacity with API calls
      • Assuming it can be set in table properties
      • Confusing it with query commands
      3. If a company has a steady workload of 1000 read capacity units and 500 write capacity units, which option best describes the cost benefit of Reserved Capacity?
      medium
      A. Reserved Capacity saves money by pre-paying for steady usage.
      B. Reserved Capacity will cost more than on-demand pricing.
      C. Reserved Capacity only applies to burst workloads.
      D. Reserved Capacity automatically adjusts capacity units.

      Solution

      1. Step 1: Understand workload type

        The workload is steady and predictable, which is ideal for Reserved Capacity.
      2. Step 2: Match Reserved Capacity benefits

        Reserved Capacity saves money by pre-paying for steady usage, unlike on-demand which is more expensive for constant loads.
      3. Final Answer:

        Reserved Capacity saves money by pre-paying for steady usage. -> Option A
      4. Quick Check:

        Steady workload + Reserved Capacity = Cost saving [OK]
      Hint: Reserved Capacity suits steady workloads to save money [OK]
      Common Mistakes:
      • Thinking Reserved Capacity is for bursty or variable workloads
      • Assuming it auto-scales capacity units
      • Believing it costs more than on-demand for steady use
      4. A developer tries to buy Reserved Capacity using a DynamoDB API call but gets an error. What is the likely cause?
      medium
      A. Reserved Capacity requires table to be in on-demand mode.
      B. Reserved Capacity cannot be purchased via API calls.
      C. The API call syntax is incorrect.
      D. Reserved Capacity is only for global tables.

      Solution

      1. Step 1: Check how Reserved Capacity is purchased

        Reserved Capacity is bought only through AWS Console or CLI, not through DynamoDB API calls.
      2. Step 2: Understand error cause

        Trying to buy it via API results in error because the API does not support this operation.
      3. Final Answer:

        Reserved Capacity cannot be purchased via API calls. -> Option B
      4. Quick Check:

        Reserved Capacity purchase method = Console/CLI only [OK]
      Hint: Reserved Capacity purchase via API causes error [OK]
      Common Mistakes:
      • Assuming API calls can buy Reserved Capacity
      • Blaming syntax errors without checking purchase method
      • Confusing Reserved Capacity with table modes
      5. A company has unpredictable spikes in traffic but wants to save costs using Reserved Capacity. What is the best approach?
      hard
      A. Reserved Capacity automatically adjusts to spikes, so buy any amount.
      B. Buy Reserved Capacity for the peak traffic to cover all spikes.
      C. Use only on-demand capacity to handle spikes efficiently.
      D. Buy Reserved Capacity for the average baseline and use on-demand for spikes.

      Solution

      1. Step 1: Analyze workload pattern

        The workload has unpredictable spikes, so buying Reserved Capacity for peak would be costly and wasteful.
      2. Step 2: Combine Reserved and on-demand

        Buying Reserved Capacity for the steady baseline and using on-demand for spikes balances cost and flexibility.
      3. Final Answer:

        Buy Reserved Capacity for the average baseline and use on-demand for spikes. -> Option D
      4. Quick Check:

        Baseline Reserved + on-demand spikes = Cost efficient [OK]
      Hint: Reserve baseline, use on-demand for spikes to save money [OK]
      Common Mistakes:
      • Buying Reserved Capacity for peak traffic wastes money
      • Relying only on on-demand increases cost
      • Thinking Reserved Capacity auto-scales with spikes
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