Author: Taylor Warfield, Former Bain Manager and interviewer

Last Updated: May 14, 2026

 

Cloud transformation case interviews test your ability to help a company move applications, data, and infrastructure from on-premises systems to the cloud. According to Accenture, public cloud migration delivers total cost of ownership savings of 30% to 40%, which is why MBB and tech consulting firms now run thousands of cloud strategy engagements each year.

 

I'm a former Bain Manager and interviewer. In this guide, you'll learn the exact frameworks, business case logic, and practice prompts you need to ace any cloud transformation case interview.

 

But first, a quick heads up:

 

McKinsey, BCG, Bain, and other top firms accept less than 1% of applicants every year. If you want to triple your chances of landing interviews and 8x your chances of passing them, watch my free 40-minute training.

 

What Is a Cloud Transformation Case Interview?

 

A cloud transformation case interview asks you to help a company move its IT systems, applications, or data from on-premises infrastructure to the cloud. These cases test whether you can build a business case for migration, choose the right migration strategy, and plan a realistic rollout. Cloud transformation is a specific type of digital transformation case interview, but it has its own frameworks, vocabulary, and economics.

 

You might be asked questions such as:

 

• Should a regional bank exit its on-premises data centers and move to the public cloud?

 

• How should a retailer migrate 500 legacy applications to AWS in 24 months?

 

• Should an insurer adopt a multi-cloud strategy across AWS and Azure, or pick a single provider?

 

• How can a manufacturer reduce its annual cloud spend by 25% without losing performance?

 

• Should a healthcare company refactor its claims platform to be cloud-native, or just lift and shift?

 

The key point is that cloud transformation cases are business cases first and technology cases second. The interviewer wants to see whether you can connect a migration decision to revenue, cost, risk, and speed of innovation. Naming AWS, Azure, or Google Cloud Platform matters far less than explaining why one path creates more business value than another.

 

How Are Cloud Transformation Cases Different from Traditional Cases?

 

Cloud transformation cases share the same fundamental structure as traditional consulting cases. You still need to build a framework, analyze data, and deliver a recommendation. But four things make these cases different in practice.

 

Traditional Case Interview	Cloud Transformation Case Interview
Recommendation is the deliverable	Migration plan and TCO model are the deliverable
Impact materializes in months	Impact materializes over 2 to 5 years
Costs are mostly operating expense	Big shift from CapEx (servers) to OpEx (cloud bill)
Risk is mostly market or competitive	Risk includes data security, regulation, downtime, vendor lock-in
One business decision	Hundreds of application-level decisions

 

According to McKinsey, around 70% of cloud transformations fail to deliver the value they promised. Interviewers ask cloud cases because they want to see whether you understand why these programs fail, not just how to plan them.

 

TCO Drives Everything

 

In most cloud cases, the math centers on total cost of ownership. You'll compare the current on-premises run rate against the future cloud run rate plus one-time migration costs. A strong candidate can quickly estimate that a $50M annual data center can drop to $35M in cloud after a $20M migration, paying back in roughly 1.3 years.

 

Migration Choices Happen at the Application Level

 

Cloud transformations are not one decision. They are hundreds or thousands of application-level decisions. Interviewers want to see that you can group applications into portfolios and assign each portfolio to a sensible migration path.

 

Execution Risk Is Higher

 

Migrations create real risk of downtime, data loss, and broken integrations. A Deloitte survey found that 60% of enterprises underestimate ongoing cloud management costs during migration, and 25% to 35% overspend in the first 12 months post-migration. You need to plan for waves, pilots, and rollback paths.

 

The Operating Model Has to Change

 

Cloud is not just a different place to run servers. It changes how IT is funded, staffed, and governed. The best candidates flag the need for a cloud center of excellence, FinOps practice, and reskilling of the existing IT team.

 

Which Consulting Firms Ask Cloud Transformation Cases?

 

Almost every major consulting firm now runs cloud transformation work, and most ask at least one related case during interviews. Cloud cases overlap heavily with the broader category of technology consulting case interview questions, especially at firms with dedicated tech practices. If you are interviewing at any of the practices below, expect cloud to come up in some form.

 

Firm or Practice	What to Expect
McKinsey Digital	Interviewer-led cases with cloud strategy and large-scale migration angles. Common prompts include data center exit, AI workload placement, and cloud cost optimization.
BCG X (formerly Platinion)	Candidate-led cases focused on IT architecture, application modernization, and platform strategy. Expect questions on IaaS, PaaS, and SaaS tradeoffs.
Bain Vector	Candidate-led cases that blend strategy with implementation. Strong emphasis on TCO models, payback periods, and change management.
Deloitte Consulting	Implementation-heavy cases. Cloud migration, ERP modernization, and AWS, Azure, or GCP partner work all show up. Expect more technical depth than MBB.
Accenture	Heavily technology-focused. Often references specific platforms and migration tools. Common prompts involve large data center exits and hybrid cloud designs.
PwC and KPMG	Cases lean toward financial services and regulated industries. Compliance, data residency, and cloud security feature prominently.
EY-Parthenon and Strategy&	Cloud cases appear in the context of broader IT or operating model transformations. Expect strategy framing with a financial lens.

 

Even in generalist MBB interviews, cloud transformation prompts have grown more common. Having coached thousands of candidates, I now see cloud-flavored cases in roughly 1 in 5 first-round generalist interviews.

 

What Do Interviewers Evaluate in Cloud Transformation Cases?

 

Cloud cases test the same core consulting skills as any other case. The difference is the context. Based on my experience as a Bain interviewer, firms evaluate five dimensions in cloud transformation cases.

 

Business Judgment and Value Creation

 

Can you link the migration to a clear business outcome? Strong candidates connect cloud to cost reduction, faster time to market, scalability, new product launches, or risk mitigation. Saying 'we should move to the cloud because it is modern' is a fail signal.

 

TCO and Financial Logic

 

Cloud cases live and die by the numbers. You need to reason through current state run rate, migration cost, ongoing cloud spend, productivity savings, and payback period. A typical answer should land within 10% of the expected ROI range.

 

Migration Strategy and Sequencing

 

Interviewers want to see you segment a large application portfolio into migration waves. Which apps go first? Which get refactored versus lifted and shifted? Which stay on premises forever? Demonstrating clear sequencing logic separates strong candidates from average ones.

 

Risk and Compliance Awareness

 

Cloud transformations create real risk. Strong candidates raise data security, regulatory compliance, data residency, vendor lock-in, and downtime risk without being prompted. Mentioning specific examples (HIPAA for healthcare, PCI DSS for retail, FedRAMP for federal) signals industry awareness.

 

Change Management and Operating Model

 

Cloud is as much a people problem as a technology problem. According to Prosci research, projects with excellent change management are 6 times more likely to meet their objectives. Always address reskilling, governance, and the move to a product-and-platform operating model.

 

What Cloud Concepts Do You Need to Know?

 

You do not need to be a cloud architect to pass these cases. You do need a working knowledge of the vocabulary that shows up in real client conversations. Here is the minimum you should know.

 

What Are IaaS, PaaS, and SaaS?

 

These are the three main cloud service models, and they differ by how much the provider manages versus how much the customer manages.

 

Service Model	What It Is	Example
IaaS (Infrastructure as a Service)	The provider gives you raw compute, storage, and networking. You manage the operating system, runtime, and applications.	AWS EC2, Azure VMs, Google Compute Engine
PaaS (Platform as a Service)	The provider manages the infrastructure and runtime. You bring your application code and data.	AWS Elastic Beanstalk, Azure App Service, Google App Engine
SaaS (Software as a Service)	The provider runs the entire application. You just use it through a browser or API.	Salesforce, Workday, ServiceNow

 

In case interviews, the choice between IaaS, PaaS, and SaaS often comes down to how much customization the client needs and how much engineering capability they have in-house.

 

What Are the Cloud Deployment Models?

 

There are four main cloud deployment models, and most large companies use a mix.

 

• Public cloud: shared infrastructure run by AWS, Azure, Google Cloud, or another provider. Cheapest and fastest to deploy, but raises security and compliance questions for sensitive data.

 

• Private cloud: cloud infrastructure dedicated to one company, hosted in their own data center or by a provider. More expensive but better for highly regulated workloads.

 

• Hybrid cloud: a mix of public and private cloud connected together. Common when companies want to keep sensitive data on-premises while running everything else in the public cloud.

 

• Multi-cloud: using two or more public cloud providers. Reduces vendor lock-in and lets companies pick the best service from each provider, but adds complexity and integration cost.

 

According to a 2025 Virtana report, 80% of organizations now use multiple public or private clouds. Interviewers expect you to discuss the tradeoffs of each model.

 

Who Are the Major Cloud Providers?

 

Three providers dominate the public cloud market and you should know each one at a high level.

 

• Amazon Web Services (AWS): the largest provider with roughly one third of global cloud market share. Strongest in breadth of services and developer ecosystem.

 

• Microsoft Azure: the second largest provider. Strongest in enterprises that already run Microsoft software like Office, Dynamics, and SQL Server.

 

• Google Cloud Platform (GCP): a strong third, with leadership in data analytics, machine learning, and Kubernetes.

 

Oracle Cloud, IBM Cloud, and Alibaba Cloud also matter in specific industries and regions. In a case, you don't need to advocate for a specific provider unless the case calls for it.

 

What Are the 7 Rs of Cloud Migration?

 

The 7 Rs are the industry-standard way to classify how each application will move to the cloud. They were originally a 5 Rs framework from Gartner and were expanded by AWS. Knowing them cold will instantly impress an interviewer.

 

Strategy	Also Known As	What It Means	When to Use It
Rehost	Lift and shift	Move the application to the cloud with no code changes	Data center exits where speed matters more than optimization
Replatform	Lift, tinker, and shift	Make small cloud-specific changes during migration, like swapping a self-managed database for a managed one	Quick wins on cost or performance without a full rewrite
Repurchase	Drop and shop	Replace an existing application with a SaaS product	Commodity workloads like email, CRM, or HR
Refactor	Re-architect	Rewrite the application to be cloud-native, often using microservices and serverless	Strategic applications that need new features, scale, or speed of release
Retire	Decommission	Turn the application off because it's no longer needed	Legacy apps with low usage or overlapping functionality
Retain	Keep on-premises	Leave the application where it is for now	Apps with compliance, latency, or recent investment reasons to stay put
Relocate	Hypervisor-level move	Move a virtual environment to the cloud without changing the OS or applications	Large VMware estates being migrated as a block

 

In a real cloud transformation, most companies use a mix of Rs across their portfolio. A common split is roughly 50% rehost, 25% replatform or repurchase, 15% refactor, and 10% retire or retain. Use this as a sanity check when sizing a migration.

 

What Is TCO and Why Does It Matter?

 

Total cost of ownership (TCO) is the full cost of running a system across its entire life, including hardware, software, labor, real estate, power, and support. In cloud cases, you compare current on-premises TCO against future cloud TCO.

 

A typical on-premises TCO has six components: server hardware, storage hardware, network, software licenses, facility costs (power, cooling, real estate), and IT labor. A typical cloud TCO has compute, storage, network, data egress, software licenses, and ongoing operations and FinOps labor.

 

According to research from CloudZero, around 32% of cloud spending is wasted, and companies that optimize can lower their cloud TCO by up to 40%. A strong candidate explicitly calls out optimization in any cloud business case.

 

What Is FinOps?

 

FinOps is the operating practice of managing cloud cost the same way you'd manage a P&L. It brings finance, engineering, and product teams together to track, allocate, and optimize cloud spend in real time. Interviewers love to see candidates mention FinOps as part of the post-migration plan.

 

How Do You Solve a Cloud Transformation Case Interview?

 

You need a structured approach to solve cloud transformation cases. The good news is that the same six steps work for every cloud transformation case you'll encounter.

 

Step 1: Clarify the Business Goal

 

Start by understanding why the company is even considering cloud. Is it cost reduction, agility, scale, exiting a leased data center, supporting a new product, or compliance? The answer shapes everything that follows.

 

Step 2: Assess the Current State

 

Map the current IT environment. How many applications are in the portfolio? How much do they cost to run? What's the current data center footprint, lease term, and refresh cycle? What technical talent does the company have?

 

Step 3: Segment the Application Portfolio

 

Group the applications by criticality, complexity, and cloud readiness. A 2x2 of business value (high or low) by cloud readiness (high or low) works well. Apps in the 'high value, high readiness' quadrant go first. Apps in 'low value, low readiness' are candidates for retire.

 

Step 4: Pick the Right Migration Strategy per Group

 

Apply the 7 Rs to each application group. A modern customer-facing app might justify refactor. A legacy back-office app might justify rehost. A commodity workload like email might justify repurchase. Always tie the choice to business value, not technical preference.

 

Step 5: Build the Business Case

 

Quantify the migration. Estimate current annual run rate, future cloud run rate, one-time migration cost, productivity savings, and revenue uplift. Calculate payback period and 3 to 5 year NPV. Be explicit about your assumptions so the interviewer can challenge them.

 

Step 6: Plan the Rollout and Address Risks

 

Sequence the work in waves of 6 to 12 months. Start with a pilot wave of 5 to 10 lower-risk applications. Build the cloud center of excellence and FinOps practice early. Call out the top risks (data security, downtime, vendor lock-in, cost overruns) and how the client will mitigate each one.

 

What Are the Best Frameworks for Cloud Transformation Cases?

 

There are seven case interview frameworks worth knowing for cloud transformation cases. Strong candidates pick the right framework for the question being asked, rather than forcing one structure onto every case.

 

1. The Cloud Business Case Framework

 

Use this when the case asks 'should the client move to the cloud?' or 'what is the value of moving to the cloud?' This framework breaks the decision into four components.

 

• Current state TCO: server, storage, network, software, facility, and labor costs of the existing environment

 

• Future state cloud cost: compute, storage, network, egress, licensing, and operations costs in the cloud

 

• One-time migration cost: planning, tooling, labor, training, and parallel running

 

• Benefits beyond cost: agility, scalability, faster time to market, new revenue, risk reduction

 

Net value equals (current TCO minus future TCO) plus benefits, minus migration cost. Stretch the model out over 5 years to capture the full payback.

 

2. The 7 Rs Migration Framework

 

Use this when the case asks how to move a specific application or portfolio. Classify each application as rehost, replatform, repurchase, refactor, retire, retain, or relocate. Tie each classification to business value and complexity.

 

3. The Cloud Maturity Framework

 

Use this when the case asks whether a company is ready to move to the cloud. Evaluate four dimensions.

 

• Strategy: does the company have a clear cloud vision and executive sponsorship?

 

• Technology: are systems modern enough to migrate, or are they decades-old monoliths?

 

• People and skills: does the IT team have cloud experience, or do they need reskilling?

 

• Operating model: does the company have FinOps, DevOps, and product team capabilities?

 

4. The Workload Segmentation Framework

 

Use this when the case asks how to prioritize which applications to migrate first. Plot applications on a 2x2 of business value (high or low) and cloud readiness (high or low). Wave 1 gets high value and high readiness. Wave 2 gets high value and low readiness, where the work is harder but the reward is bigger. Low value applications get retired or retained.

 

5. The Build-Buy-Partner Framework for Cloud

 

Use this when the case asks how the company should acquire a specific cloud capability. There are three paths.

 

• Build: develop cloud-native applications in-house. Best when the capability is a competitive differentiator.

 

• Buy: purchase a SaaS application. Best for commodity workloads where you don't need customization.

 

• Partner: work with a systems integrator or managed service provider. Best when speed matters more than full control.

 

6. The Cloud Risk and Compliance Framework

 

Use this when the case involves regulated industries like financial services, healthcare, or government. Evaluate four risk categories.

 

• Data security: encryption, access controls, key management, and breach response

 

• Regulatory compliance: HIPAA, PCI DSS, SOX, GDPR, and other industry rules

 

• Data residency: where physical data is stored and which jurisdictions it crosses

 

• Vendor concentration: how much business depends on a single cloud provider, and what happens if they fail or raise prices

 

7. The Phased Migration Framework

 

Use this for any case that asks how to roll out the migration. Structure the program in four phases.

 

• Foundation (months 1 to 6): build cloud landing zone, security baseline, FinOps practice, and skills

 

• Pilot wave (months 4 to 12): migrate 5 to 20 lower-risk applications to learn and refine

 

• Scale waves (months 9 to 36): migrate the bulk of the portfolio in 6 to 12 month waves of 50 to 150 applications each

 

• Optimize (ongoing): right-size workloads, reserved instances, refactor key applications, retire legacy

 

What Are the Most Common Types of Cloud Transformation Cases?

 

Six patterns cover most of the cloud transformation cases you'll see. Knowing the patterns helps you recognize what the interviewer is testing within the first 30 seconds of the case.

 

Data Center Exit

 

The company is leasing or owns one or more data centers and wants out, often because a lease is expiring or hardware is end-of-life. The case asks how to migrate everything in 18 to 36 months while avoiding business disruption. Key questions involve sequencing, parallel running cost, and rollback plans.

 

Application Modernization

 

The company already lifted and shifted to the cloud, but isn't seeing the benefits. The case asks how to modernize legacy monoliths into cloud-native microservices to unlock speed and cost gains. Refactor and replatform decisions dominate.

 

Cloud Cost Optimization

 

The company is already in the cloud but spending too much. The case asks how to reduce cloud spend by a specific target, often 20% to 40%, without hurting performance or features. This often overlaps with cost reduction case interview logic and tests your FinOps thinking.

 

Multi-Cloud or Hybrid Strategy

 

The company is debating whether to commit to a single cloud provider or spread workloads across two or more. The case asks how to evaluate the tradeoffs of vendor lock-in, complexity, and best-of-breed services. Multi-cloud sounds appealing but often raises costs by 20% or more if not managed well.

 

Cloud Security Transformation

 

A regulated company (bank, hospital, government agency) wants to use the cloud but is worried about security and compliance. The case asks how to design a target operating model, governance structure, and control framework that lets them adopt cloud safely. Topics include identity and access management, encryption, and audit readiness.

 

Industry-Specific Cloud Migration

 

Some cases focus on cloud transformation inside a specific industry where the constraints are unique. A bank case will emphasize regulatory compliance. A retail case will emphasize peak-season scalability. A pharmaceutical case will emphasize R&D analytics. The cloud logic stays the same, but the priorities shift.

 

What Mistakes Should You Avoid in Cloud Transformation Cases?

 

Having interviewed hundreds of candidates at Bain, I see the same mistakes show up in cloud cases over and over. Avoid these six and you'll already be ahead of most candidates.

 

Assuming Cloud Is Always Cheaper

 

Cloud is not automatically cheaper than on-premises. A lift-and-shift migration with no optimization often costs 15% to 20% more than the on-premises baseline. Always frame the business case as 'cloud delivers value through agility, scale, and innovation' rather than 'cloud is cheap.'

 

Ignoring Data Egress Costs

 

Cloud providers charge money every time data leaves their network, and these fees can wreck a TCO model. A strong candidate flags egress costs in any multi-cloud or hybrid scenario, especially when data sits in one cloud but is consumed by another.

 

Skipping Change Management

 

Most cloud transformations fail because of people, not technology. If your plan doesn't address reskilling, governance, and the move to a product-and-platform operating model, the interviewer will notice. Make change management a first-class part of every recommendation.

 

Recommending a Big-Bang Migration

 

Telling the interviewer 'migrate everything in 12 months' is a red flag. Real cloud transformations run in waves of 6 to 12 months over 2 to 5 years. Always recommend a foundation phase, a pilot wave, scale waves, and an optimize phase.

 

Naming a Single Cloud Provider Too Quickly

 

Don't blurt out 'they should use AWS' in the first minute. The right provider depends on existing relationships, workload type, regulatory needs, and data location. State your reasoning before naming a provider, and treat AWS, Azure, and Google Cloud as interchangeable unless the case gives you reasons not to.

 

Forgetting the Operating Model

 

Cloud is not just a different place to run servers. It changes the way IT is funded, organized, and governed. Strong candidates mention the need for a cloud center of excellence, FinOps practice, and DevOps capability.

 

Cloud Transformation Case Interview Example

 

Here's a worked example to show how the steps come together on a real prompt.

 

The Case: Regional Bank Data Center Exit

 

A regional bank with $1.4B in revenues runs all of its core systems out of two leased data centers in the Midwest. Both leases expire in 36 months. The CIO is considering an exit to the public cloud. Current IT spend is $200M per year. Should they migrate, and how?

 

How to Approach It

 

Start by clarifying the business goal. Is the priority cost savings, agility, or simply avoiding the cost of new data centers? In this case, assume the priority is cost savings plus regulatory resilience.

 

Build a framework with four buckets.

 

1. Business Case: What's the 5-year TCO comparison between staying in data centers, building new data centers, and moving to the public cloud?

 

2. Portfolio Strategy: How should the bank classify its ~400 applications across the 7 Rs?

 

3. Risk and Compliance: How will the bank meet regulatory requirements for customer data in the cloud?

 

4. Execution Plan: What's the right sequencing of migration waves over 30 months?

 

Working the Numbers

 

Current run rate is $200M. Assume cloud can deliver 25% TCO savings if optimized, which puts future state at $150M per year. One-time migration cost is roughly $80M (planning, tooling, labor, and parallel running). Cumulative 5-year savings: 5 times $50M, or $250M. Net 5-year benefit is $250M minus $80M, or $170M. Payback period is around 1.6 years.

 

Portfolio Decisions

 

Of the 400 applications, assume 200 are commodity workloads (rehost), 80 are mid-complexity and benefit from replatform, 40 are commodity SaaS candidates (repurchase email, HR, CRM), 30 are strategic and worth refactoring, 30 can be retired, and 20 must be retained for regulatory or latency reasons.

 

The Recommendation

 

Recommend migrating to a primary cloud provider with a backup secondary provider for regulatory resilience. Phase the work in three waves of 12 months. Start with the rehost portfolio to build momentum, follow with replatform and repurchase, and refactor strategic apps in parallel. Build the FinOps practice in month 1, not month 30.

 

The expected outcome is $50M in annual savings starting in year 2, full data center exit in 30 months, and an operating model that lets the bank ship new digital products in weeks instead of quarters.

 

What Practice Prompts Can You Use to Prepare?

 

Below are 15 cloud transformation practice prompts organized by industry. Use these for self-study or mock interviews.

 

Financial Services

 

• A mid-size bank wants to exit two data centers in 24 months and move to the public cloud. Build the business case and migration plan.

 

• An asset manager is debating whether to host its trading platform on a single cloud or multi-cloud. Which should they pick and why?

 

• A global insurer is spending $300M per year in the cloud and wants to cut 30%. Where would you start?

 

Retail and Consumer

 

• A retailer running 1,200 stores wants to move its e-commerce platform to the cloud before peak holiday season. How should they sequence the work?

 

• A consumer goods company is on aging on-prem ERP and considering a SaaS replacement. Should they repurchase, refactor, or wait?

 

Healthcare and Life Sciences

 

• A hospital system wants to move its EHR and analytics workloads to the cloud while staying HIPAA compliant. What's the right architecture?

 

• A pharmaceutical company is debating whether to run its R&D analytics on AWS, Azure, or a hybrid approach. How would you decide?

 

• A health insurer wants to refactor its claims platform to a cloud-native architecture over 3 years. Build the roadmap.

 

Manufacturing and Logistics

 

• A manufacturer with 30 plants worldwide wants to migrate its MES systems to the cloud. What considerations matter most?

 

• A logistics company is paying $80M per year for IT and wants cloud to cut 20%. Which workloads should they migrate first?

 

Technology and Media

 

• A SaaS company is over-provisioned and wasting 35% of its cloud spend. How would you redesign its FinOps practice?

 

• A media company wants to refactor its content delivery platform to be cloud-native. What's the business case?

 

Public Sector and Other

 

• A federal agency wants to migrate 600 legacy applications to the cloud over 5 years. How should they sequence the work?

 

• A higher education institution wants to retire its on-prem student information system and move to SaaS. Build the business case.

 

• A non-profit running on aging hardware is debating whether the cloud is worth the cost. How would you evaluate?

 

How Should You Prepare for Cloud Transformation Cases?

 

Follow these four steps to get ready for cloud transformation case interviews.

 

Learn the Cloud Vocabulary

 

Spend a few hours reading about IaaS, PaaS, SaaS, the 7 Rs, TCO, and FinOps. You don't need engineering depth. You need enough to talk fluently in a 30-minute interview. The AWS, Azure, and Google Cloud websites all have free cloud adoption guides that are excellent primers.

 

Read Real Cloud Case Studies

 

McKinsey.com, BCG.com, Bain.com, and the major cloud provider sites all publish cloud transformation case studies. Read 5 to 10 of them. Pay attention to the size of the migration, the duration, the financial impact, and the operating model changes.

 

Practice TCO and Migration Math

 

Cloud cases involve more financial math than typical strategy cases. Practice estimating annual data center costs, cloud run rates, migration costs, and payback periods. Get to where you can build a 5-year cash flow model in your head.

 

Do 5 to 10 Practice Cases

 

Use the 15 practice prompts above as a starting point. If you want structured practice with full case solutions and step-by-step feedback, my case interview course includes technology and cloud transformation cases you can work through at your own pace.

 

Frequently Asked Questions

 

Do I Need a Technical Background to Pass Cloud Transformation Cases?

 

No. You don't need to be a software engineer or cloud architect. You need to understand the basic vocabulary (IaaS, PaaS, SaaS, the 7 Rs, TCO) and connect cloud decisions to business outcomes. Roughly 60% of candidates who get offers from McKinsey Digital don't have a traditional tech background.

 

Is Cloud Transformation the Same as Digital Transformation?

 

Cloud transformation is a subset of digital transformation. Digital transformation covers any major change in how a company uses technology, including AI, automation, customer experience, and cloud. Cloud transformation specifically focuses on moving IT infrastructure, applications, and data to the cloud.

 

Should I Recommend a Specific Cloud Provider in a Case?

 

Usually no. At MBB firms, keep recommendations at a strategic level. At implementation-focused firms like Accenture or Deloitte, mentioning a specific provider can be appropriate if you can justify it with workload type, existing relationships, or regulatory needs. When in doubt, talk about what the cloud needs to do rather than who provides it.

 

How Long Does a Real Cloud Transformation Take?

 

Most enterprise cloud transformations take 3 to 5 years from start to mostly complete. A full data center exit alone is typically 18 to 36 months. In a case, recommending a 12-month full migration is a red flag and recommending a 10-year plan is too slow. Aim for 2 to 4 years.

 

What Percentage of Applications Should Be Refactored vs Rehosted?

 

A common rule of thumb is roughly 50% rehost, 25% replatform or repurchase, 15% refactor, and 10% retire or retain. Refactor is the most expensive and time-consuming path, so only apply it to strategic applications where the business benefit is clear.

 

How Is Cloud Cost Different from On-Premises Cost?

 

On-premises is mostly CapEx (large upfront server and hardware purchases) plus ongoing OpEx for power, cooling, and staff. Cloud is almost entirely OpEx, paid monthly based on usage. This shift gives more flexibility but also makes cost overruns easier, which is why FinOps matters so much.

 

Are Cloud Transformation Cases More Common at MBB or Implementation Firms?

 

They're more common at implementation-focused firms like Deloitte, Accenture, PwC, and KPMG. But MBB firms also ask them, especially in their dedicated digital practices (McKinsey Digital, BCG X, Bain Vector). Expect at least one cloud or technology-flavored case in any consulting interview process.

 

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