Cost allocation and optimization in MLOps - Mini Project: Build & Apply

Cost Allocation and Optimization in MLOps

📖 Scenario: You work in a team managing machine learning projects. Each project uses cloud resources that cost money. Your manager wants to see how much each project costs so they can optimize spending.

🎯 Goal: Build a simple Python program that stores project costs, sets a budget limit, calculates which projects exceed the budget, and prints those projects for review.

📋 What You'll Learn

Create a dictionary called project_costs with exact project names and costs

Create a variable called budget_limit with the exact value 1000

Use a dictionary comprehension called over_budget_projects to find projects costing more than budget_limit

Print the over_budget_projects dictionary

💡 Why This Matters

🌍 Real World

Teams managing machine learning projects need to track cloud resource costs to avoid overspending.

💼 Career

Understanding cost allocation helps MLOps engineers optimize budgets and report expenses clearly to stakeholders.

1

Create the project costs dictionary

Create a dictionary called project_costs with these exact entries: 'ProjectA': 850, 'ProjectB': 1200, 'ProjectC': 950, 'ProjectD': 1300

MLOps

# Create the project_costs dictionary with exact project names and costs
# Your code here

Hint

Use curly braces {} to create a dictionary with keys as project names and values as costs.

2

Set the budget limit

Create a variable called budget_limit and set it to the integer value 1000

MLOps

project_costs = {'ProjectA': 850, 'ProjectB': 1200, 'ProjectC': 950, 'ProjectD': 1300}
# Create the budget_limit variable and set it to 1000
# Your code here

Hint

Just assign the number 1000 to the variable budget_limit.

3

Find projects over the budget

Use a dictionary comprehension called over_budget_projects to select projects from project_costs where the cost is greater than budget_limit

MLOps

project_costs = {'ProjectA': 850, 'ProjectB': 1200, 'ProjectC': 950, 'ProjectD': 1300}
budget_limit = 1000
# Create over_budget_projects dictionary with projects costing more than budget_limit
# Your code here

Hint

Use {project: cost for project, cost in project_costs.items() if cost > budget_limit} to filter projects.

4

Print the projects over budget

Write a print statement to display the over_budget_projects dictionary

MLOps

project_costs = {'ProjectA': 850, 'ProjectB': 1200, 'ProjectC': 950, 'ProjectD': 1300}
budget_limit = 1000
over_budget_projects = {project: cost for project, cost in project_costs.items() if cost > budget_limit}
# Print the over_budget_projects dictionary
# Your code here

Hint

Use print(over_budget_projects) to show the filtered projects.

Practice

1. What is the main purpose of cost allocation in MLOps?

easy

A. To improve model accuracy

B. To increase the speed of model training

C. To track who uses resources and how much they cost

D. To automate data labeling

Solution

1. Step 1: Understand cost allocation concept

   Cost allocation means assigning costs to users or projects to see usage and expenses clearly.

2. Step 2: Identify the main goal in MLOps

   In MLOps, cost allocation helps track resource usage and spending by teams or projects.

3. Final Answer:

   To track who uses resources and how much they cost -> Option C

4. Quick Check:

   Cost allocation = track usage and cost [OK]

Hint: Cost allocation = who uses what and cost [OK]

Common Mistakes:

• Confusing cost allocation with model accuracy
• Thinking cost allocation speeds up training
• Mixing cost allocation with automation tasks

2. Which of the following is the correct syntax to tag a resource for cost allocation in a YAML MLOps config?

easy

A. tags: [owner=team-alpha, project=fraud-detection]

B. tags = {owner: team-alpha, project: fraud-detection}

C. tags: owner: team-alpha; project: fraud-detection

D. tags:\n owner: team-alpha\n project: fraud-detection

Solution

1. Step 1: Recognize YAML syntax for key-value pairs

   YAML uses colon and indentation for mapping keys to values, like 'tags:\n owner: value'.

2. Step 2: Compare options to YAML format

   tags:\n owner: team-alpha\n project: fraud-detection uses correct YAML indentation and colon syntax for tags; others use invalid syntax.

3. Final Answer:

   tags:\n owner: team-alpha\n project: fraud-detection -> Option D

4. Quick Check:

   YAML tags use colon and indentation [OK]

Hint: YAML uses colon and indentation for tags [OK]

Common Mistakes:

• Using equal signs instead of colons in YAML
• Putting tags in brackets like a list
• Separating tags with semicolons

3. Given this Python snippet for cost optimization, what is the output?

costs = [100, 200, 300, 400]
optimized = [c * 0.8 for c in costs if c > 150]
print(optimized)

medium

A. [80.0, 160.0, 240.0, 320.0]

B. [160.0, 240.0, 320.0]

C. [200, 300, 400]

D. [80, 160, 240]

Solution

1. Step 1: Filter costs greater than 150

   From the list, values > 150 are 200, 300, 400.

2. Step 2: Apply 20% discount (multiply by 0.8)

   200*0.8=160.0, 300*0.8=240.0, 400*0.8=320.0.

3. Final Answer:

   [160.0, 240.0, 320.0] -> Option B

4. Quick Check:

   Filter >150 then multiply by 0.8 = [160.0, 240.0, 320.0] [OK]

Hint: Filter costs >150 then multiply by 0.8 [OK]

Common Mistakes:

• Applying discount to all costs instead of filtered
• Forgetting to filter costs >150
• Using integer instead of float multiplication

4. You have this snippet to tag resources but it causes an error:

tags:
  owner: team-alpha
  project fraud-detection

What is the error and how to fix it?

medium

A. Missing colon after 'project'; fix by adding ':' like 'project: fraud-detection'

B. Wrong indentation; fix by indenting 'project' more

C. Tags must be in quotes; fix by adding quotes around values

D. Use equal sign instead of colon; fix by 'project = fraud-detection'

Solution

1. Step 1: Identify YAML syntax error

   YAML requires a colon ':' after keys; 'project fraud-detection' misses the colon.

2. Step 2: Correct the syntax

   Add colon after 'project' to become 'project: fraud-detection' to fix error.

3. Final Answer:

   Missing colon after 'project'; fix by adding ':' like 'project: fraud-detection' -> Option A

4. Quick Check:

   YAML keys need colon ':' [OK]

Hint: YAML keys must end with colon ':' [OK]

Common Mistakes:

• Ignoring missing colon errors
• Changing indentation instead of fixing colon
• Using equal signs in YAML

5. You want to optimize costs by automatically stopping idle compute instances after 30 minutes. Which approach combines cost allocation and optimization best?

hard

A. Tag instances by owner and project, then use a script to stop idle instances after 30 minutes

B. Only tag instances by owner without automation

C. Manually check instances daily and stop idle ones

D. Increase instance size to reduce runtime

Solution

1. Step 1: Use cost allocation tags

   Tagging by owner and project helps track who uses which resources and their costs.

2. Step 2: Automate cost optimization

   Using a script to stop idle instances after 30 minutes saves money by reducing waste.

3. Step 3: Combine both for best results

   Tagging plus automation ensures clear cost tracking and efficient spending control.

4. Final Answer:

   Tag instances by owner and project, then use a script to stop idle instances after 30 minutes -> Option A

5. Quick Check:

   Tag + automate stopping idle = best cost control [OK]

Hint: Combine tagging with automation to save costs [OK]

Common Mistakes:

• Skipping automation and relying on manual checks
• Tagging without any optimization steps
• Increasing instance size without cost control