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Practice Exam
Question 1. Which scope of GHG emissions includes the electricity purchased by a data‑center? A) Scope 1 B) Scope 2 C) Scope 3 D) None of the above Answer: B Explanation: Scope 2 covers indirect emissions from purchased electricity, heat, or steam. Question 2. In cloud‑native sustainability, “green coding” primarily aims to: A) Reduce code size only B) Minimize energy used during execution C) Increase feature count D) Accelerate compile time Answer: B Explanation: Green coding focuses on writing software that consumes less power while running. Question 3. Which CNCF TAG is dedicated to environmental sustainability? A) TAG Security B) TAG Observability C) TAG Cloud‑Native Sustainability D) TAG Networking Answer: C Explanation: The TAG Cloud‑Native Sustainability coordinates community efforts on green IT. Question 4. The GHG Protocol is used for: A) Encrypting data in transit B) Measuring carbon footprints C) Deploying containers D) Scaling Kubernetes clusters Answer: B Explanation: It provides standardized methods to calculate and report greenhouse‑gas emissions. Question 5. Which of the following is a direct (Scope 1) emission source in a cloud provider’s data‑center?
Practice Exam
A) Diesel generators on‑site B) Purchased electricity C) Employee commuting D) Outsourced SaaS usage Answer: A Explanation: Scope 1 covers emissions from sources owned or controlled, such as on‑site fuel combustion. Question 6. A key benefit of using spot instances for sustainability is: A) Higher CPU performance B) Lower carbon intensity due to idle capacity utilization C) Guaranteed uptime D) Unlimited storage Answer: B Explanation: Spot instances use otherwise idle compute, improving overall resource efficiency. Question 7. Which metric is most useful for detecting over‑provisioned containers? A) Cache hit ratio B) CPU request vs. actual usage C) DNS query latency D) Number of pods per node Answer: B Explanation: Comparing requested CPU to actual usage reveals excess allocation. Question 8. The “green” priority in an IT strategy should be balanced with: A) Cost, performance, and security B) Branding only C) Marketing spend D) Vendor lock‑in Answer: A Explanation: Sustainable IT must consider financial, operational, and security constraints. Question 9. Which tool collects per‑process energy consumption on Linux using eBPF? A) Prometheus B) Kepler C) Grafana D) Istio Answer: B
Practice Exam
Question 14. The primary purpose of Green FinOps is to: A) Increase revenue B) Align cost savings with emission reductions C) Automate CI/CD pipelines D) Migrate legacy apps Answer: B Explanation: Green FinOps couples financial optimization with environmental impact. Question 15. Which of the following best describes “model quantization” in sustainable AI? A) Increasing model size B) Converting weights to lower‑precision formats to reduce compute C) Adding more layers D) Using more training data Answer: B Explanation: Quantization lowers precision, decreasing memory and CPU/GPU cycles required. Question 16. In the context of cloud sustainability, “greenwashing” is: A) Using renewable energy B) Misrepresenting environmental benefits C) Deploying containers on‑prem D) Encrypting data at rest Answer: B Explanation: It is the practice of exaggerating or falsifying sustainability claims. Question 17. Which observation is a sign of resource leakage in a containerized environment? A) Constant low CPU usage B) Memory usage that never returns after spikes C) Zero network traffic D) Fixed number of replicas Answer: B Explanation: Memory that grows and is not reclaimed indicates leaks.
Practice Exam
Question 18. The “Predictive Autoscaling” feature in Kubernetes VPA primarily uses: A) Random scaling B) Historical usage trends to forecast future demand C) Fixed thresholds only D) Manual operator input Answer: B Explanation: VPA predicts required resources based on past metrics, improving efficiency. Question 19. Which cloud service model typically has the lowest Scope 3 emissions for end users? A) IaaS B) PaaS C) SaaS D) All have equal emissions Answer: C Explanation: SaaS abstracts more infrastructure, shifting the majority of emissions to the provider. Question 20. Edge computing contributes to sustainability by: A) Centralizing all processing in a single data‑center B) Reducing data transfer distances and latency C) Using only proprietary hardware D) Increasing network hops Answer: B Explanation: Processing near the data source cuts transport energy and improves efficiency. Question 21. Which of the following is a key principle of sustainable software architecture? A) Monolithic design B) Resource efficiency C) Unlimited scaling D) Vendor lock‑in Answer: B Explanation: Designing for minimal resource consumption is central to sustainability. Question 22. The Scaphandre tool is primarily used to:
Practice Exam
Question 26. Which of the following is NOT a recommended practice for reducing cloud‑related emissions? A) Right‑sizing instances B) Ignoring idle resource metrics C) Using spot instances D) Selecting low‑carbon regions Answer: B Explanation: Ignoring idle metrics leads to waste; monitoring is essential. Question 27. The term “carbon intensity” of a cloud region refers to: A) Number of CPUs per rack B) Amount of CO₂ emitted per kWh of electricity used C) Network bandwidth capacity D) Storage latency Answer: B Explanation: Carbon intensity measures emissions associated with each unit of energy. Question 28. Which of the following best describes “serverless” in the sustainability context? A) Always running VMs B) Pay‑per‑use execution that reduces idle compute C) Fixed‑size containers D) On‑prem hardware provisioning Answer: B Explanation: Serverless platforms only consume resources while code runs, minimizing idle power. Question 29. Which data‑collection method provides the most granular energy usage for containers? A) Provider‑level billing reports B) eBPF‑based telemetry (e.g., Kepler) C) Manual spreadsheet entry D) Approximate VM‑level metrics Answer: B Explanation: eBPF captures per‑process power data, enabling fine‑grained analysis.
Practice Exam
Question 30. In the context of AI model lifecycle, “hyperparameter optimization” can improve sustainability by: A) Increasing training epochs indefinitely B) Finding efficient configurations that reduce compute time C) Randomly selecting parameters D) Ignoring validation loss Answer: B Explanation: Optimized hyperparameters can achieve target accuracy with less training effort. Question 31. Which practice helps avoid “greenwashing” when publishing sustainability reports? A) Using vague terms only B) Providing transparent, auditable metrics C) Hiding carbon data D) Overstating reductions without evidence Answer: B Explanation: Transparent, verifiable data prevents misleading claims. Question 32. The primary environmental advantage of using “immutable infrastructure” is: A) Faster provisioning B) Reduced configuration drift leading to fewer unnecessary rebuilds C) Increased hardware usage D) Unlimited scaling Answer: B Explanation: Immutable patterns avoid ad‑hoc changes that can cause resource waste. Question 33. Which of the following is an example of a Scope 3 emission for a SaaS customer? A) Electricity used by the provider’s data‑center B) Emissions from employee commuting to the provider’s office C) Emissions from the customer’s own on‑prem servers used to access the SaaS D) Fuel used by the provider’s backup generators Answer: C
Practice Exam
Explanation: Less data means fewer storage resources and less energy for processing. Question 38. Which of the following is a key advantage of using “region‑aware routing” for sustainability? A) Higher latency B) Directing traffic to low‑carbon‑intensity regions C) Increased bandwidth costs D) Fixed IP addresses Answer: B Explanation: Routing to greener regions reduces the carbon footprint of request handling. Question 39. Which open‑source project focuses on providing carbon‑aware metrics for Kubernetes? A) Prometheus B) Kepler C) Fluentd D) Helm Answer: B Explanation: Kepler collects carbon intensity and power usage data for Kubernetes workloads. Question 40. In a serverless function, the “cold start” penalty can affect sustainability because: A) It increases idle waiting time, consuming extra compute resources B) It improves latency C) It reduces memory usage D) It eliminates scaling Answer: A Explanation: Cold starts waste energy by provisioning resources that sit idle briefly. Question 41. Which practice helps reduce the carbon impact of continuous integration pipelines? A) Running builds on the cheapest instance regardless of efficiency B) Caching dependencies and only rebuilding when necessary C) Ignoring test failures D) Using monolithic build agents only
Practice Exam
Answer: B Explanation: Caching avoids redundant compilation, lowering compute cycles. Question 42. The primary goal of “Sustainable Architectural Patterns” is to: A) Maximize feature count B) Minimize resource consumption while meeting functional requirements C) Increase vendor lock‑in D) Reduce code readability Answer: B Explanation: Patterns such as microservices, serverless, and event‑driven design aim for efficient resource use. Question 43. Which metric is most directly linked to the energy use of a storage volume? A) IOPS (input/output operations per second) B) Number of users C) Color depth of stored images D) Network latency Answer: A Explanation: Higher IOPS demand more power from storage subsystems. Question 44. Which of the following best describes “green software” in the context of IT strategy? A) Software that only runs on renewable‑powered devices B) Software designed to minimize energy consumption throughout its lifecycle C) Software with a green UI theme D) Software that never updates Answer: B Explanation: Green software emphasizes energy efficiency from design to operation. Question 45. Which of the following is a direct benefit of using “predictive scaling” for workloads?
Practice Exam
Answer: B Explanation: Pruning removes less important weights, shrinking model size and compute. Question 50. When measuring cloud sustainability, the term “carbon‑aware budgeting” refers to: A) Allocating money based on carbon price forecasts B) Ignoring carbon costs in budgeting C) Investing only in hardware D) Using fixed budgets regardless of usage Answer: A Explanation: Budgeting that incorporates carbon pricing aligns financial and environmental goals. Question 51. Which of the following best describes “edge‑cloud hybrid deployment” for AI inference? A) Running all inference in a single data‑center B) Distributing inference between edge devices and cloud to balance latency and energy use C) Using only on‑prem GPUs D) Deploying models on mobile phones only Answer: B Explanation: Hybrid deployment leverages edge for low latency and cloud for scale, reducing transport energy. Question 52. Which of the following is a primary reason to use “immutable containers” for sustainability? A) They can be edited on‑the‑fly B) They guarantee consistent resource usage across deployments C) They increase startup time D) They require manual patching Answer: B Explanation: Immutable images avoid configuration drift, leading to predictable and efficient resource consumption.
Practice Exam
Question 53. The “GHG Protocol Scope 3” for a cloud user includes emissions from: A) The provider’s data‑center power usage B) The user‑generated traffic to the cloud service C) On‑prem backup storage that syncs with the cloud D) Provider’s employee commuting Answer: C Explanation: Scope 3 covers indirect emissions from the user’s own activities linked to cloud usage. Question 54. Which of the following observability signals is most useful for identifying CPU‑bound inefficiencies? A) Disk latency B) CPU utilization percentage C) HTTP status codes D) Memory swap rate Answer: B Explanation: High CPU utilization indicates potential over‑use or inefficient code. Question 55. Which practice helps reduce the carbon impact of data replication across regions? A) Replicating data in all available zones B) Using geo‑redundancy only where needed based on SLA C) Ignoring latency requirements D) Storing multiple full copies for every user Answer: B Explanation: Replicating only where necessary avoids unnecessary storage and network energy. Question 56. Which of the following is a key characteristic of “sustainable microservices” architecture? A) Monolithic deployments B) Independent scaling of each service to match load C) Unlimited inter‑service communication D) Fixed resource allocation per service Answer: B Explanation: Independent scaling prevents over‑provisioning of the entire system.
Practice Exam
A) Guaranteed uptime B) Lower cost and reduced carbon emissions due to utilization of spare capacity C) Unlimited storage D) Fixed pricing contracts Answer: B Explanation: Spot instances leverage unused capacity, decreasing both cost and associated emissions. Question 62. Which of the following is a recommended approach to avoid “resource over‑commitment” in Kubernetes? A) Set requests lower than limits for all pods B) Use realistic resource requests based on profiling C) Disable the scheduler D) Enable infinite pod replicas Answer: B Explanation: Accurate profiling ensures requests match real needs, preventing waste. Question 63. Which of these standards focuses on environmental, social, and governance (ESG) reporting for organizations? A) ISO 9001 B) GRI C) PCI DSS D) ITIL Answer: B Explanation: The Global Reporting Initiative (GRI) provides ESG reporting guidelines. Question 64. In a cloud sustainability context, “carbon‑offsetting” refers to: A) Reducing actual emissions directly B) Investing in projects that remove or avoid CO₂ to compensate for emitted amount C) Ignoring emissions altogether D) Using only renewable energy sources Answer: B Explanation: Offsetting balances emitted carbon by supporting external reduction projects.
Practice Exam
Question 65. Which of the following is an advantage of “centralized logging” for sustainability? A) Increased storage usage B) Easier identification of redundant log generation, enabling reduction of unnecessary I/O C) Higher network bandwidth consumption D) None of the above Answer: B Explanation: Centralizing logs helps detect and eliminate excessive logging, saving compute and storage. Question 66. Which of the following best describes “dynamic scaling policies” in cloud environments? A) Fixed resource allocation B) Adjusting resources automatically based on real‑time demand C) Manual VM provisioning only D) Disabling autoscaling features Answer: B Explanation: Dynamic policies respond to load changes, preventing over‑provisioning. Question 67. Which of the following is a primary driver of the exponential growth in ICT‑related GHG emissions? A) Decrease in smartphone usage B) Proliferation of AI/GenAI workloads and digital transformation C) Reduction of data‑center size D) Adoption of analog computing Answer: B Explanation: AI and large‑scale digital services dramatically increase compute demand. Question 68. Which of these practices can directly reduce the carbon footprint of a CI/CD pipeline? A) Running builds on the most powerful GPU always B) Caching Docker layers and reusing them across builds C) Ignoring test failures D) Deploying to all regions simultaneously Answer: B
Practice Exam
Question 73. Which of the following is a recommended practice for sustainable data archiving? A) Keep all data hot and replicated everywhere B) Move infrequently accessed data to cold storage tiers with lower energy consumption C) Delete all old data immediately D) Store data on high‑performance SSDs only Answer: B Explanation: Cold storage uses less power for data that is rarely accessed. Question 74. Which of the following cloud‑native observability tools can be extended to include carbon intensity metrics? A) Prometheus with custom exporters B) MySQL only C) FTP servers D) Email clients Answer: A Explanation: Prometheus can scrape custom metrics, such as carbon intensity, via exporters. Question 75. Which of the following best captures the purpose of “Sustainable AI” initiatives? A) To increase model size indiscriminately B) To minimize energy use throughout model training, serving, and lifecycle C) To replace all CPUs with GPUs D) To ignore model accuracy Answer: B Explanation: Sustainable AI focuses on energy‑efficient AI practices. Question 76. Which of the following is a direct effect of “over‑provisioned network bandwidth” on sustainability? A) Lower latency B) Unnecessary power consumption by network equipment C) Higher storage capacity D) Reduced security risks Answer: B
Practice Exam
Explanation: Excess bandwidth drives network gear to operate at higher power without benefit. Question 77. Which of the following is a core principle of “Sustainable Software Architecture”? A) Prioritizing feature count over performance B) Designing for resource efficiency and scalability C) Ignoring maintainability D) Using proprietary protocols only Answer: B Explanation: Efficient, scalable design reduces energy use over the software’s life. Question 78. Which of the following actions helps organizations avoid “greenwashing” in sustainability reporting? A) Using vague buzzwords without data B) Publishing audited, verifiable carbon metrics C) Hiding emissions data D) Claiming 100 % renewable energy without proof Answer: B Explanation: Transparent, audited data substantiates sustainability claims. Question 79. Which of the following is a benefit of “edge computing” for AI inference workloads? A) Centralized data processing only B) Reduced data transfer energy and lower latency C) Higher bandwidth usage D) Increased need for large data‑centers Answer: B Explanation: Processing close to the source cuts transport energy and improves response time. Question 80. Which of the following is a typical indicator that a container image is not “green”? A) Small image size B) Contains unnecessary packages and large layers C) Uses minimal OS libraries D) Built with multi‑stage builds
