Cloud Digital Leader Free Practice Questions — Page 9
Question 81
Within Google’s Site Reliability Engineering framework, which concept measures how well a system is performing?
A. Service-level agreement
B. Service-level indicator
C. Error reporting
D. Service-level objective
Show Answer
Correct Answer: B
Explanation: In Google’s SRE framework, a Service-Level Indicator (SLI) is the quantitative metric that measures how well a system is performing (e.g., latency, error rate, availability). SLAs are contracts, SLOs are target goals set on SLIs, and error reporting is a diagnostic process, not a performance measure.
Question 82
A cinema company wants to build a model to predict customer visit patterns for the coming year. They have three years of customer visit data across 300 theaters; however, the data has been stored in different formats by different theaters. They must train the ML model. What should they do?
A. Use the last year of data so there are fewer inconsistencies for the model to handle.
B. Transform the data into a consistent format.
C. Group different format types and train a different model for each group.
D. Choose an ML model type that can process different formats of input data.
Show Answer
Correct Answer: B
Explanation: Machine learning models require inputs in a consistent, standardized format. With data collected in different formats across theaters, the correct first step is data preprocessing—transforming all data into a uniform structure—so the model can learn from the full dataset reliably. The other options either discard valuable data, add unnecessary complexity, or rely on unrealistic model capabilities.
Question 83
An organization must identify and fix security vulnerabilities in its cloud infrastructure and applications. Which Google Cloud service should they use?
A. Security Command Center
B. Google Cloud Armor
C. Cloud Storage
D. VPC networks
Show Answer
Correct Answer: A
Explanation: Security Command Center is Google Cloud’s centralized security and risk management service. It continuously scans cloud resources to identify security vulnerabilities, misconfigurations, and threats across infrastructure and applications, and provides recommendations for remediation. The other options focus on specific functions (DDoS protection, storage, or networking) and do not provide comprehensive vulnerability identification and management.
Question 84
An organization wants to leverage cloud technologies but is concerned about vendor lock-in.
What would mitigate this concern?
A. Open standards
B. Database services
C. Service level agreements
D. Scalable infrastructure
Show Answer
Correct Answer: A
Explanation: Vendor lock-in is reduced by using open standards because they are provider-agnostic and promote interoperability and portability across cloud platforms. This allows workloads, data, and integrations to be migrated more easily between vendors. The other options do not directly address dependency on proprietary technologies.
Question 85
An organization wants to use an open source library with a flexible ecosystem of tools to create and train its own machine learning models. Which product or solution should the organization use?
A. Cloud Functions
B. Apache Beam
C. Dataflow
D. TensorFlow
Show Answer
Correct Answer: D
Explanation: The requirement is for an open-source library specifically designed to create and train machine learning models with a flexible and rich ecosystem of tools. TensorFlow is an open-source machine learning framework that provides comprehensive support for model building, training, evaluation, and deployment, along with a large ecosystem of libraries and community resources. The other options are data processing or serverless compute services, not ML model training libraries.
Question 86
An organization has petabytes of data gathered from a wide range of sources. They want to use the data for strategic analysis and to guide business decisions. What type of service should they use?
A. Multi cloud environment
B. Virtual machine environment
C. Hybrid cloud environment
D. Container environment
Show Answer
Correct Answer: A
Explanation: The requirement is to store and analyze petabytes of data from many sources for strategic analytics. Among the given options, a multi-cloud environment best fits because it allows leveraging specialized analytics, storage, and data processing services from multiple cloud providers at massive scale. Virtual machines, containers, and hybrid cloud describe compute deployment models, not data analytics services, and do not inherently address large-scale, cross-source data analysis needs.
Question 87
What is an example of unstructured data?
A. Historical stock inventory
B. Product ratings
C. Customer orders
D. Call center transcripts
Show Answer
Correct Answer: D
Explanation: Unstructured data lacks a predefined schema and does not fit neatly into rows and columns. Call center transcripts consist of free‑form spoken language text with variable vocabulary and structure, making them unstructured. The other options are structured records typically stored in tabular databases.
Question 88
What is a defining feature of a non-relational database?
A. Reporting across multiple data sources
B. A strictly enforced schema
C. A flexible data model
D. Queries that join multiple tables
Show Answer
Correct Answer: C
Explanation: Non-relational (NoSQL) databases are defined by their flexible data model. Unlike relational databases, they do not require a strictly enforced, predefined schema, allowing data structures to evolve and supporting unstructured or semi-structured data. The other options describe characteristics of relational databases.
Question 89
An organization needs to rapidly scale its use of computing resources and honor its commitment to environmental sustainability.
What should the organization do?
A. Refactor application software to use less energy.
B. Use a public cloud provider with energy-efficient data centers.
C. Use a carbon-neutral energy provider for an existing on-premises data center.
D. Purchase energy-efficient servers for an existing on-premises data center.
Show Answer
Correct Answer: B
Explanation: The organization needs rapid scalability and sustainability. Public cloud providers offer near-instant scaling without upfront hardware purchases and typically operate highly energy-efficient, often renewable-powered data centers. This meets both rapid growth and environmental goals better than optimizing or expanding an on-premises data center.
Question 90
A vacation home rental organization wants to predict the popularity of properties in their upcoming busy season. They do not have a data science team, and want to use their in-house database administration skills to create a machine learning model. What should the organization do?
A. Use custom training in Vertex AI with TensorFlow.
B. Integrate pre-trained APIs into their application.
C. Use BigQuery ML and create models using SQL.
D. Build a model in AutoML using labeled data.
Show Answer
Correct Answer: C
Explanation: The organization lacks a data science team but has database administration and SQL skills. BigQuery ML is designed for this scenario, allowing users to build, train, and evaluate machine learning models directly using SQL within BigQuery. This avoids the need for TensorFlow, AutoML expertise, or integrating external APIs, while still enabling predictive modeling such as forecasting property popularity.
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