Google Cloud Digital Leader

1. Digital Transformation with Google Cloud

1.  Why Cloud Technology is Transforming Business:

1. An organization has made significant investments in their own infrastructure and has regulatory requirements for their data to be hosted on-premises. Which cloud implementation would best suit their needs?

• Private Cloud

3. Select the two capabilities that form the basis of a transformation cloud? Select two correct answers.

• Data cloud provides a unified solution to manage data across the entire data lifecycle
• Open infrastructure gives the freedom to innovate by running applications in the place that makes the most sense.

4. What is the benefit of implementing a transformation cloud that is based on open infrastructure?

• Open source software reduces the chance of vendor lock-in.

5. What is seen as a limitation of on-premises infrastructure, when compared to cloud infrastructure?

• The on-premises hardware procurement process can take a long time.

6. As the world and business changes, organizations have to decide between embracing new technology and transforming, or keeping their technology and approaches the same. What risks might an organization face by not transforming as their market evolves?

• Focusing on ‘how’ they operate can prevent organizations from seeing transformation opportunities.

7. What is the cloud?

• A metaphor for a network of data centers.

9. An organization has a new application, and user subscriptions are growing faster than on-premises infrastructure can handle. What benefit of the cloud might help them in this situation?

• It's scalable, so the organization could shorten their infrastructure deployment time.

2. Fundamental Cloud Concepts

1. An organization wants to innovate using the latest technologies, but also has compliance needs that specify data must be stored in specific locations. Which cloud approach would best suit their needs?

• Hybrid Cloud

2. A financial services organization has bank branches in a number of countries, and has built an application that needs to run in different configurations based on the local regulations of each country. How can cloud infrastructure help achieve this goal?

• Flexibility of infrastructure configuration.

3. Which network performance metric describes the amount of data a network can transfer in a given amount of time?

• Bandwidth

4. An organization has shifted from a CapEx to OpEx based spending model. Which of these statements is true?

• They will only pay for what they use.

5. An organization wants to ensure they have redundancy of their resources so their application remains available in the event of a disaster. How can they ensure this happens?

• By putting resources in different zones.

3. Cloud Computing Models and Shared Responsibility

1. In the cloud computing shared responsibility model, what types of content are customers always responsible for, regardless of the computing model chosen?

• The customer is responsible for security of the operating system, software stack required to run their applications and any hardware, networks, and physical security.

2. An organization wants to move their collaboration software to the cloud, but due to limited IT staff one of their main drivers is having low maintenance needs. Which cloud computing model would best suit their requirements?

• Software as a Service (SaaS)

3. Which option best describes a benefit of Infrastructure as a Service (IaaS)?

• It’s efficient, as IaaS resources are available when needed and resources aren’t wasted by overbuilding capacity.

4. Which cloud computing service model offers a develop-and-deploy environment to build cloud applications?

• Platform as a Service (PaaS)

2. Exploring Data Transformation with Google Cloud

2 Exploring Data Transformation with Google Cloud

1. The Value of Data

1. New cloud tools make it possible to harness the potential of unstructured data. Which of these use cases best demonstrates this?

• Analyzing social media posts to identify sentiment toward a brand

2. A solar energy company wants to analyze weather data to better understand the seasonal impact on their business. On which platform could they find free-to-use weather datasets?

• Google Cloud Marketplace

3. Which data type is highly organized and well-defined?

• Structured data

4. Which is a repository designed to ingest, store, explore, process, and analyze any type or volume of raw data, regardless of the source?

• Data lake

5. An online retailer uses a smart analytics tool to ingest real-time customer behavior data to surface the best suggestions for particular users. How can machine learning guide this activity?

• Through machine learning, with every click that the user makes, their website experience becomes increasingly personalized.

6. What is Google Cloud’s modern and serverless data warehousing solution?

•  BigQuery

7. Which step in the data value chain is where collected raw data is transformed into a form that’s ready to derive insights from?

• Data processing

8. Which represents the proprietary customer datasets that a business collects from customer or audience transactions and interactions?

• First-party data

9. A car insurance company has a large database that stores customer details, including the vehicles they own and past claims. The structure of the database means that information is stored in tables, rows, and columns. What type of database is this?

• A relational database

10.What is data governance?

• The process of setting internal data policies and ensuring compliance with external standards

2. Google Cloud Data Management Solutions

1. What is Google's big data database service that powers many core Google services, including Google Search, Google Analytics, Google Maps Platform, and Gmail?

(c)Bigtable

2. What are the two services that BigQuery provides?

(c)Storage and analytics

3. Which would be the best SQL-based storage option for a transactional workload that requires global scalability?

Spanner

4. Data in the form of video, pictures, and audio recordings is well suited to object storage. Which product is best for storing this kind of data?

Cloud Storage

5. Which characteristic is true for all Cloud Storage classes?

Geo-redundancy if data is stored in a multi-region or dual-region

6. Which strategy describes when databases are migrated from on-premises and private cloud environments to the same type of database hosted by a public cloud provider?

(c)Lift and shift

7.BigQuery works in a multicloud environment. How do organizations benefit from this feature?

(e) Multicloud support in BigQuery is only intended for use in disaster recovery scenarios.

(e)BigQuery lets organizations save costs by limiting the number of cloud providers they use.

8. Which Google Cloud product can be used to synchronize data across databases, storage systems, and applications?

Datastream

9. A data analyst for an online retailer must produce a sales report at the end of each quarter. Which Cloud Storage class should the retailer use for data accessed every 90 days?

(c)Coldline

10. Which is the best SQL-based storage option for a transactional workload that requires local or regional scalability?

(e) Spanner

3. Making Data Useful and Accessible

1. What does ETL stand for in the context of data processing?

Extract, transform, and load

2. Streaming analytics is the processing and analyzing of data records continuously instead of in batches. Which option is a source of streaming data?

Temperature sensors

3. What is Google Cloud’s distributed messaging service that can receive messages from various device streams such as gaming events, Internet of Things (IoT) devices, and application streams?

Pub/Sub

4. Which statement is true about Dataflow?

It handles infrastructure setup and maintenance for processing pipelines.

5. What feature of Looker makes it easy to integrate into existing workflows and share with multiple teams at an organization?

(e) It supports over 60 different SQL databases.

(e) It creates easy to understand visualizations.

6. What Google Cloud business intelligence platform is designed to help individuals and teams analyze, visualize, and share data?

Looker

3. Innovating with Google Cloud Artificial Intelligence

1. AI and ML Fundamentals

1.How do data analytics and business intelligence differ from AI and ML?

• Data analytics and business intelligence identify trends from historical data, whereas AI and ML use data to make decisions for future business.

2.Which use case demonstrates ML’s ability to process natural language?

• Identifying the topic and sentiment of customer email messages so that they can be routed to the relevant department.

3.You’re watching a video on YouTube and are shown a list of videos that YouTube thinks you are interested in. What ML solution powers this feature?

• Personalized recommendations

4.Which option refers to the use of technologies to build machines and computers that can mimic cognitive functions associated with human intelligence?

• Artificial intelligence

5.What does the consistency dimension refer to when data quality is being measured?

• Whether the data is uniform and doesn’t contain any contradictory information.

6.Which technology relies on models to analyze large amounts of data, learn from the insights, and then make predictions and informed decisions?

• Machine learning

7.Artificial intelligence is best suited for replacing or simplifying rule-based systems. Which is an example of this in action?

• Training a machine learning model to predict a search result ranking.

8.Google's AI principles are a set of guiding values that help develop and use artificial intelligence responsibly. Which of these is one of Google’s AI principles?

• AI should be socially beneficial.

9.Google applies generative AI to products like Google Workspace, but what is generative AI?

• A type of artificial intelligence that can produce new content, including text, images, audio, and synthetic data.

10.Which dimension for measuring data quality means that the data conforms to a set of predefined standards and definitions such as type and format?

• Validity

2. Google Cloud’s AI and ML Solutions

2. Google Cloud’s AI and ML Solutions

1.What’s the name of Google’s application-specific integrated circuit (ASIC) that is used to accelerate machine learning workloads?

• Tensor Processing Unit (TPU)

2.Google Cloud offers four options for building machine learning models. Which is best when a business wants to code their own machine learning environment, the training, and the deployment?

(e)AutoML

3.A large media company wants to improve how they moderate online content. Currently, they have a team of human moderators that review content for appropriateness, but are looking to leverage artificial intelligence to improve efficiency. Which of Google’s pre-trained APIs could they use to identify and remove inappropriate content from the media company's website and social media platforms.

• Natural Language API

4.Which feature of Vertex AI lets users build and train end-to-end machine learning models by using a GUI (graphical user interface), without writing a line of code.

• AutoML

5.BigQuery ML is a machine learning service that lets users:

Build and evaluate machine learning models in BigQuery by using SQL.

6.An online retailer wants to help users find specific products faster on their website. One idea is to allow shoppers to upload an image of the product they’re looking to purchase. Which of Google’s pre-trained APIs could the retailer use to expand this functionality?

• Vision API

7.Which Google Cloud AI solution is designed to help businesses improve their customer service?

(e) Discovery AI for Retail

8.Which Google Cloud AI solution is designed to help businesses automate document processing?

• Document AI

4. Modernize Infrastructure and Applications with Google Cloud

1. Modernizing infrastructures in the Cloud

1.A travel company is in the early stages of developing a new application and wants to test it on a variety of configurations: different operating systems, processors, and storage options. What cloud computing option should they use?

• Virtual machine instances

2.What computing option automatically provisions resources, like compute power, in the background as needed?

• Serverless computing

3.What phrase refers to when a workload is rehosted without changing anything in the workload's code or architecture.

(e)Refactor and reshape

(e)move and improve

4.A manufacturing company is considering shifting their on-premises infrastructure to the cloud, but are concerned that access to their data and applications won’t be available when they need them. They want to ensure that if one data center goes down, another will be available to prevent any disruption of service. What does this refer to?

• Reliability

5.What open source platform, originally developed by Google, manages containerized workloads and services?

• Kubernetes

6.What portion of a machine does a container virtualize?

• Software layers above the operating system level

2. Modernizing Applications in the Cloud

1.Which is a fully managed cloud infrastructure solution that lets organizations run their Oracle workloads on dedicated servers in the cloud?

• Bare metal solution

2.What is one way that organizations can create new revenue streams through APIs?

• By charging developers to access their APIs

3.What term describes a set of instructions that lets different software programs communicate with each other?

• Application programming interface

4.In modern cloud application development, what name is given to independently deployable, scalable, and maintainable components that can be used to build a wide range of applications?

• Microservices

5.What is the name of Google Cloud's API management service that can operate APIs with enhanced scale, security, and automation?

• Apigee

6.What name is given to an environment where an organization uses more than one public cloud provider as part of its architecture?

• Multicloud

7.What name is given to an environment that comprises some combination of on-premises or private cloud infrastructure and public cloud services?

• Hybrid cloud

8.In modern application development, which is responsible for the day-to-day management of cloud-based infrastructure, such as patching, upgrades, and monitoring?

• Managed services

9.What term is commonly used to describe a rehost migration strategy for an organization that runs specialized legacy applications that aren’t compatible with cloud-native applications?

• Lift and shift

10.What’s the name of Google Cloud’s production-ready platform for running Kuberenetes applications across multiple cloud environments?

• GKE Enterprise

5. Trust and Security with Google Cloud

1.Trust and Security in the Cloud

1.What common cybersecurity threat involves tricking users into revealing sensitive information or performing actions that compromise security?

• Phishing

2.Which definition best describes a firewall?

• A network security device that monitors and controls incoming and outgoing network traffic based on predefined security rules

3.Which is the responsibility of the cloud provider in a cloud security model?

(e)Securing the customer's data.

4.Which cybersecurity threat demands a ransom payment from a victim to regain access to their files and systems.

• Ransomware

5.Which is a benefit of cloud security over traditional on-premises security?

• Increased scalability.

6.Which cloud security principle ensures that security practices and measures align with established standards and guidelines?

• Compliance

7.Which three essential aspects of cloud security form the foundation of the CIA triad?

• Confidentiality, integrity, and availability

8.Which cybersecurity threat occurs when errors arise during the setup of resources, inadvertently exposing sensitive data and systems to unauthorized access?

• Configuration mishaps

9.Which cloud security principle relates to keeping data accurate and trustworthy?

• Integrity

10.Which security principle advocates granting users only the access they need to perform their job responsibilities?

• Least privilege

2.Google’s Trusted Infrastructure

1.What metric does Google Cloud use to measure the efficiency of its data centers to achieve cost savings and a reduced carbon footprint?

• Power Usage Effectiveness (PUE)

2.What security feature adds an extra layer of protection to cloud-based systems?

• Two-step verification (2SV)

3.Select the correct statement about Identity and Access Management (IAM).

• IAM provides granular control over who has access to Google Cloud resources and what they can do with those resources.

4.Which practice involves a combination of processes and technologies that help reduce the risk of data breaches, system outages, and other security incidents in the cloud?

• Security operations (SecOps)

5.Which aspect of cloud identity management verifies the identity of users or systems?

• Authentication

6.Which is a powerful encryption algorithm trusted by governments and businesses worldwide?

• Advanced Encryption Standard (AES)

7.What Google Cloud product provides robust protection from harmful distributed denial-of-service (DDoS) attacks?

• Google Cloud Armor

8.Google Cloud encrypts data at various states. Which state refers to when data is being actively processed by a computer?

• Data in use

3.Google Cloud’s Trust Principles and Compliance

1.Which report provides a way for Google Cloud to share data about how the policies and actions of governments and corporations affect privacy, security, and access to information?

Transparency reports

2.Which Google Cloud feature allows users to control their data's physical location?

Regions

3.Which is one of Google Cloud’s seven trust principles?

All customer data is encrypted by default.

4.Where can you find details about certifications and compliance standards met by Google Cloud?

Compliance resource center

5.Which term describes the concept that data is subject to the laws and regulations of the country where it resides?

Data sovereignty

6. Scaling with Google Cloud Operations

1.Financial Governance and Managing Cloud Costs

1.Which term describes a centralized hub within an organization composed of a partnership across finance, technology, and business functions?

Center of excellence

2.Which Google Cloud tool lets you estimate how changes to cloud usage will affect costs?

Google Cloud Pricing Calculator

3.Which feature lets you set alerts for when cloud costs exceed a certain limit?

Budget threshold rules

4.Which offers a reactive method to help you track and understand what you’ve already spent on Google Cloud resources and provide ways to help optimize your costs?

Cloud billing reports

5.Why is it a benefit that the Google Cloud resource hierarchy follows inheritance and propagation rules?

Permissions set at higher levels of the resource hierarchy are automatically inherited by lower-level resources.

6.Which feature lets you set limits on the amount of resources that can be used by a project or user?

Quota policies

7.Which represents the lowest level in the Google Cloud resource hierarchy?

Resources

2. Operational Excellence and Reliability at Scale

1.One of the four golden signals is latency. What does latency measure?

How long it takes for a particular part of a system to return a result.

2.Whose job is to ensure the reliability, availability, and efficiency of software systems and services deployed in the cloud?

Site reliability engineer

3.Which Google Cloud Customer Care support level is designed for enterprises with critical workloads and features the fastest response time?

Premium Support

4.How does replication help the design of resilient and fault-tolerant infrastructure and processes in a cloud environment?

3It duplicates critical components or resources to provide backup alternatives. 3

5.What does the Cloud Profiler tool do?

3It provides a comprehensive view of your cloud infrastructure and applications. 3

3It collects and stores all application and infrastructure logs.

6.Which metric shows how well a system or service is performing?

Service level indicators

7.Why is escalating a support ticket not always the best course of action when trying to resolve an issue?

It may disrupt the workflow of the Customer Care team and lead to delays in other cases.

8.Which of these measures should be automated on a regular basis and stored in geographically separate locations to allow for rapid recovery from disasters or failures?

Backups

9.Google Cloud Observability provides a comprehensive set of monitoring, logging, and diagnostics tools. Which tool collects latency data from applications and provides insights into how they’re performing?

Cloud Trace

3.Sustainability with Google Cloud

1.Google's data centers were the first to achieve ISO 14001 certification. What is this standard’s purpose?

3It’s a framework for carbon footprinting that calculates the total amount of greenhouse gas emissions associated with a product, service, or organization.

3It’s a framework for sustainable procurement, which is the process of purchasing goods and services in a way that minimizes environmental and social impacts.

2.Kaluza is an electric vehicle smart-charging solution. How does it use BigQuery and Looker Studio?

• It uses BigQuery and Looker Studio to create dashboards that provide granular operational insights.

3.What sustainability goal does Google aim to achieve by the year 2030?

• To be the first major company to operate completely carbon free.