Cloud Digital Leader Free Practice Questions — Page 2
Question 11
An organization has a large VMWare environment that they want to migrate to the cloud. They want to retain existing operational processes and tools. Which Google Cloud service should the organization use?
A. Compute Engine
B. Google Cloud VMware Engine
C. VMWare vSphere
D. Bare Metal Solution
Show Answer
Correct Answer: B
Explanation: Google Cloud VMware Engine is the managed Google Cloud service specifically designed to run VMware workloads natively in Google Cloud while preserving existing VMware tools, operational processes, and skills. Compute Engine requires VM conversion or replatforming, VMware vSphere is not a Google Cloud managed service, and Bare Metal Solution targets specialized bare-metal workloads rather than providing a managed VMware cloud environment.
Question 12
An organization is evaluating its defenses against cyber security threats and is concerned about the risks of social engineering by cyber criminals. How might these attacks happen?
A. SQL injection attacks
B. Physical damage to hardware
C. Phishing emails
D. Distributed denial-of-service attacks
Show Answer
Correct Answer: C
Explanation: Social engineering attacks manipulate people rather than exploiting technical vulnerabilities. Phishing emails are a classic social engineering technique that tricks users into revealing credentials or other sensitive information. SQL injection targets application vulnerabilities, physical damage is not social engineering, and DDoS attacks disrupt service availability without relying on human manipulation.
Question 13
An organization wants to adopt the advanced machine learning capabilities of the Google Cloud. However, regulations require data to be stored in an on-premises data center. Which approach should the organization use?
A. A hybrid-cloud approach
B. A multi-cloud approach
C. A public-cloud approach
D. A private-cloud approach
Show Answer
Correct Answer: A
Explanation: A hybrid-cloud approach is the correct choice because it allows the organization to keep regulated data stored on-premises while using Google Cloud's advanced machine learning services where appropriate. This directly satisfies both the regulatory requirement for on-premises data storage and the desire to leverage Google Cloud capabilities. A multi-cloud strategy concerns using multiple cloud providers rather than integrating on-premises infrastructure. A public cloud alone would not satisfy the on-premises storage requirement, and a private cloud alone would not provide Google Cloud's managed ML services.
Question 14
An organization processes batch sales data at the end of every month to analyze sales trends and derive business insights. They want to improve accuracy and make near real-time decisions. What should the organization do?
A. Change from a relational database to a NoSQL database.
B. Filter the data so reports are generated faster.
C. Switch from batch processing to stream processing.
D. Process batch reports weekly instead of monthly.
Show Answer
Correct Answer: C
Explanation: Near real-time analytics requires processing data continuously as it arrives rather than waiting for scheduled batches. Stream processing enables timely insights and faster decision-making. Changing database types, filtering data, or increasing batch frequency do not provide true near real-time processing.
Question 15
An organization is concerned about the risk of data loss that may occur due to hardware failures or cyber attacks. They want to restore their systems to a previous state if such an event occurs. What should the organization do?
A. Set service level objectives (SLOs).
B. Use Cloud Monitoring.
C. Back up data regularly.
D. Enable autoscaling.
Show Answer
Correct Answer: C
Explanation: Regular backups are the primary control for recovering from hardware failures, ransomware, accidental deletion, or other data-loss events. Backups allow systems and data to be restored to a previous known-good state. SLOs define reliability targets, Cloud Monitoring provides observability and alerts, and autoscaling adjusts capacity; none of those provide data restoration capabilities.
Question 16
An organization wants to ensure that they grant users only the permissions they require to perform their job responsibilities. Which security principle describes this approach?
A. Cyber resilience
B. Zero-trust
C. Least privilege
D. Security by default
Show Answer
Correct Answer: C
Explanation: The principle of least privilege means granting users, accounts, and processes only the minimum permissions necessary to perform their required tasks. This reduces the attack surface and limits the impact of accidental or malicious misuse. Zero-trust is a broader security model that incorporates least-privilege access but is not the specific principle being asked. Cyber resilience focuses on preparing for, responding to, and recovering from cyber incidents, while security by default refers to secure default configurations rather than permission assignment.
Question 17
An organization wants to analyze data in a data warehouse. How should they proceed?
A. Import data into a semi-structured time-series database.
B. Choose a system to store structured and semi-structured data that supports ad-hoc analysis and custom reporting.
C. Copy unstructured data into a single large object store.
D. Ensure data is stored in structured tables and rows to support transactional queries and relationships.
Show Answer
Correct Answer: B
Explanation: A data warehouse is designed for analytical (OLAP) workloads, including ad-hoc queries, business intelligence, and reporting. Modern data warehouses commonly support structured and semi-structured data for analysis. Time-series databases are specialized for timestamped data, object stores are storage rather than analytical query engines, and transactional row/table databases are optimized for OLTP rather than analytics.
Question 18
An organization has a large dataset that contains text transcripts of conversations between their customers and service representatives. They want an automated solution to identify the topics their customers care most about. Which service should the organization use?
A. Vision API
B. Speech-to-Text API
C. Cloud Translation API
D. Natural Language API
Show Answer
Correct Answer: D
Explanation: The dataset already consists of text transcripts, and the goal is to identify topics discussed by customers. The Natural Language API is designed to analyze text, including entity analysis, text classification, and other NLP capabilities that help identify key topics. Vision API analyzes images, Speech-to-Text converts audio to text (unnecessary since transcripts already exist), and Cloud Translation translates between languages rather than extracting topics.
Question 19
A manufacturing organization has a large collection of images labeled as intact or defective parts. They want to use this data to build a simple solution to detect faulty parts on their production line. They have no data science expertise. Which solution should they use?
A. Pre-trained APIs
B. Document AI
C. AutoML
D. Discovery AI for Retail
Show Answer
Correct Answer: C
Explanation: AutoML is the appropriate choice because the organization already has a labeled image dataset and wants to build a custom image classification model without data science expertise. AutoML Vision is designed for this no-code/low-code workflow. Pre-trained APIs are not tailored to custom defect categories, Document AI is for document processing, and Discovery AI for Retail is unrelated to manufacturing image classification.
Question 20
An organization is hosting an application in Europe, and customers in Asia are reporting slow response times despite their fast internet connection.
What is the problem?
A. Not enough application servers
B. Network bandwidth
C. Network latency
D. Misconfigured application servers
Show Answer
Correct Answer: C
Explanation: The issue is network latency. Even with a fast local internet connection, users in Asia accessing an application hosted in Europe experience longer round-trip times due to the physical distance between client and server. This affects responsiveness. Bandwidth is the amount of data that can be transferred, not the propagation delay, and insufficient servers or misconfiguration would typically impact users more broadly rather than primarily a distant geographic region.
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