Google Cloud Digital Leader Course Quizzes

New cloud tools make it possible to harness the potential of unstructured data. Which of these use cases best demonstrates this? Creating visualizations from seasonal weather data Analyzing social media posts to identify sentiment toward a brand Using GPS coordinates to power a ride-sharing app Analyzing historical sales figures to predict future trends

Analyzing social media posts to identify sentiment toward a brand

What is the name of Google Cloud's API management service that can operate APIs with enhanced scale, security, and automation? Apigee App Engine Cloud API Manager AppSheet

Apigee

What term describes a set of instructions that lets different software programs communicate with each other? Communication link interface Network programming interface Application programming interface Programming communication link

Application programming interface

Which aspect of cloud identity management verifies the identity of users or systems? Authentication Accounting Authorization Auditing

Authentication

Which item describes a goal of an organization seeking digital transformation? Reduce emissions by using faster networks in their on-premises workloads. Ensure better security by decoupling teams and their data. Break down data silos and generate real time insights. Streamline their hardware procurement process to forecast at least a quarter into the future.

Break down data silos and generate real time insights.

BigQuery ML is a machine learning service that lets users: Build and evaluate machine learning models in BigQuery by using Python and Java. Export small amounts of data to spreadsheets or other applications. Build and evaluate machine learning models in BigQuery by using SQL. Seamlessly connect with a data science team to create an ML model.

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

What is one way that organizations can create new revenue streams through APIs? By charging developers to access their APIs By allowing developers to access their data for free By using APIs to track customer shipments By developing new products and services internally

By charging developers to access their APIs

What does ETL stand for in the context of data processing? Event-time logic Enrichment, tagging, and labeling Enhanced transaction logic Extract, transform, and load

Extract, transform, and load

Which represents the proprietary customer datasets that a business collects from customer or audience transactions and interactions? Third-party data First-party data Second-party data

First-party data

What Google Cloud business intelligence platform is designed to help individuals and teams analyze, visualize, and share data? Looker Dataplex Dataflow Cloud Storage

Looker

What name is given to an environment where an organization uses more than one public cloud provider as part of its architecture? Multicloud Hybrid cloud Edge cloud Community cloud

Multicloud

Which Google Cloud AI solution is designed to help businesses improve their customer service? Contact Center AI Document AI Cloud Talent Solution Discovery AI for Retail

Contact Center AI

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 Data storage Data analysis Data genesis

Data processing

What Google Cloud product provides robust protection from harmful distributed denial-of-service (DDoS) attacks? IAM Google Cloud Armor Cloud Load Balancing Cloud Monitoring

Google Cloud Armor

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 Play App Engine Google Cloud Marketplace Google Cloud console

Google Cloud Marketplace

Which cloud security principle relates to keeping data accurate and trustworthy? Control Compliance Integrity Confidentiality

Integrity

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. Machine learning can help identify user behavior in real time, but cannot make personalized suggestions based on the data. Machine learning can be used to make all users see the same product recommendations, regardless of their preferences or behavior. Through machine learning, a user's credit card transactions can be analyzed to determine regular purchases.

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

Streaming analytics is the processing and analyzing of data records continuously instead of in batches. Which option is a source of streaming data? Medical test results Customer email addresses Payroll records Temperature sensors

Temperature sensors

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 Speech-to-Text API Vision API Video Intelligence API

Natural Language API

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) Data Center Infrastructure Efficiency (DCiE) Total cost of ownership (TCO) Energy Efficiency Ratio (EER)

Power Usage Effectiveness (PUE)

Which cybersecurity threat demands a ransom payment from a victim to regain access to their files and systems. Ransomware Spyware Virus Trojan

Ransomware

What are the two services that BigQuery provides? Networking and storage Migration and analytics Compute and analytics Storage and analytics

Storage and analytics

What is data governance? The process of deleting unnecessary data to save storage space The process of setting internal data policies and ensuring compliance with external standards The process of collecting and storing data for future use The process of analyzing data to gain insights and make informed decisions

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

Which dimension for measuring data quality means that the data conforms to a set of predefined standards and definitions such as type and format? Accuracy Uniqueness Validity Consistency

Validity

What is the cloud? A metaphor for the networking capability of internet providers. A metaphor for a network of data centers. A Google product made up of on-premises IT infrastructure. A Google product for computing large amounts of data.

A metaphor for a network of data centers.

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 non-relational database An XML database A relational database An object database

A relational database

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. A type of artificial intelligence that can create and sustain its own consciousness. A type of artificial intelligence that can make decisions and take actions. A type of artificial intelligence that can understand and respond to human emotions.

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

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 accountable to other machines. AI should create or reinforce unfair bias. AI should be socially beneficial. AI should be made available for any use.

AI should be socially beneficial.

Which is a powerful encryption algorithm trusted by governments and businesses worldwide? Isomorphic encryption (IE) Advanced Encryption Standard (AES) Post-quantum cryptography (PQC) Lattice-Based Cryptography (LBC)

Advanced Encryption Standard (AES)

Which is one of Google Cloud's seven trust principles? Google Cloud uses customer data for advertising. Google sells customer data to third parties. We give "backdoor" access to government entities when requested. All customer data is encrypted by default.

All customer data is encrypted by default.

Which option refers to the use of technologies to build machines and computers that can mimic cognitive functions associated with human intelligence? Artificial intelligence Natural language processing Deep learning Machine learning

Artificial intelligence

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. MLOps AutoML Managed ML environment Custom training

AutoML

Which network performance metric describes the amount of data a network can transfer in a given amount of time? Fiber optics Bandwidth Latency Domain Name System (DNS)

Bandwidth

Which is a fully managed cloud infrastructure solution that lets organizations run their Oracle workloads on dedicated servers in the cloud? Bare metal solution Google Cloud VMware Engine App Engine SQL Server on Google Cloud

Bare metal solution

What is Google Cloud's modern and serverless data warehousing solution? Vertex AI BigQuery Cloud Storage Compute Engine

BigQuery

What is Google's big data database service that powers many core Google services, including Google Search, Google Analytics, Google Maps Platform, and Gmail? Bigtable Spanner Cloud SQL Cloud Storage

Bigtable

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? Using the edge network to cache the whole application image in a backup. By assigning a different IP address to each resource. By putting resources in different zones. By putting resources in the Domain Name System (DNS).

By putting resources in different zones.

Which is the best SQL-based storage option for a transactional workload that requires local or regional scalability? Cloud Storage Bigtable Spanner Cloud SQL

Cloud SQL

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? BigQuery Firestore Cloud SQL Cloud Storage

Cloud Storage

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? Coldline Nearline Standard Archive

Coldline

Which cloud security principle ensures that security practices and measures align with established standards and guidelines? Compliance Integrity Confidentiality Control

Compliance

Where can you find details about certifications and compliance standards met by Google Cloud? Compliance resource center Marketplace Cloud Storage client libraries Google Cloud console

Compliance resource center

Which three essential aspects of cloud security form the foundation of the CIA triad? Confidentiality, integrity, and availability Certificates, intelligence, and authentication Compliance, identity, and access management Containers, infrastructure, and architecture

Confidentiality, integrity, and availability

Which cybersecurity threat occurs when errors arise during the setup of resources, inadvertently exposing sensitive data and systems to unauthorized access? Virus Phishing Configuration mishaps Malware

Configuration mishaps

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? Pre-trained APIs AutoML Custom training BigQuery ML

Custom training

How do data analytics and business intelligence differ from AI and ML? Data analytics and business intelligence use automated decision-making processes, whereas AI and ML require human intervention and interpretation of data. Data analytics and business intelligence are used only in small businesses, whereas AI and ML are used exclusively by large corporations. Data analytics and business intelligence identify trends from historical data, whereas AI and ML use data to make decisions for future business. Data analytics and business intelligence involve advanced algorithms for predicting future trends, whereas AI and ML focus on processing historical data.

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

Select the two capabilities that form the basis of a transformation cloud? Select two correct answers. Sustainable cloud ensures the costs of cloud resources are controlled to prevent budget overrun. Collaboration cloud ensures that the device a user connects with only works on the corporate network. A trusted cloud gives control of all resources to the user to ensure high availability at all times. 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.

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.

Google Cloud encrypts data at various states. Which state refers to when data is being actively processed by a computer? Data at rest Data lake Data in use Data in transit

Data in use

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 Data warehouse Data archive Database

Data lake

Which term describes the concept that data is subject to the laws and regulations of the country where it resides? Data sovereignty Data redundancy Data residency Data consistency

Data sovereignty

BigQuery works in a multicloud environment. How do organizations benefit from this feature? Data teams can eradicate data silos by analyzing data across multiple cloud providers. Multicloud support in BigQuery is only intended for use in disaster recovery scenarios. BigQuery lets organizations save costs by limiting the number of cloud providers they use. Security is more effective when BigQuery is run in on-premises environments.

Data teams can eradicate data silos by analyzing data across multiple cloud providers.

Which Google Cloud product can be used to synchronize data across databases, storage systems, and applications? Datastream Dataproc Pub/Sub Dataprep

Datastream

Which Google Cloud AI solution is designed to help businesses automate document processing? Discovery AI for Retail Document AI Cloud Talent Solution Contact Center AI

Document AI

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. Scalability of infrastructure to needs. Total cost of ownership of the infrastructure. Reliability of the infrastructure availability.

Flexibility of infrastructure configuration.

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? Embracing new technology can cause organizations to overspend on innovation. Organizations risk losing market leadership if they spend too much time on digital transformation. Focusing on 'why' they operate can lead to inefficient use of resources and disruption. Focusing on 'how' they operate can prevent organizations from seeing transformation opportunities.

Focusing on 'how' they operate can prevent organizations from seeing transformation opportunities.

What's the name of Google Cloud's production-ready platform for running Kuberenetes applications across multiple cloud environments? Container Registry Knative GKE Enterprise Google Kubernetes Engine

GKE Enterprise

Which characteristic is true for all Cloud Storage classes? Geo-redundancy if data is stored in a multi-region or dual-region High latency and low durability Accessibility only within one region Maximum storage limits

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

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? Multicloud Public Cloud On-premises infrastructure Hybrid Cloud

Hybrid Cloud

What name is given to an environment that comprises some combination of on-premises or private cloud infrastructure and public cloud services? Smart cloud Hybrid cloud Multicloud Secure cloud

Hybrid cloud

Select the correct statement about Identity and Access Management (IAM). IAM is a cloud security information and event management solution that collects and analyzes log data from cloud security devices and applications. IAM provides granular control over who has access to Google Cloud resources and what they can do with those resources. IAM is a system that detects and prevents malicious traffic from entering a cloud network. IAM is a cloud service that encrypts cloud-based data at rest and in transit.

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

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. Segmenting images into different parts or regions to extract information, such as the text on a sign. Identifying the artist, title, or genre of a song to create playlists based on the user's listening habits. Detecting people and objects in surveillance footage to use as evidence in criminal cases.

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

Which is a benefit of cloud security over traditional on-premises security? Only having to install security updates on a weekly basis. Increased scalability. Having physical access to hardware. Large upfront capital investment.

Increased scalability.

Which statement is true about Dataflow? It handles infrastructure setup and maintenance for processing pipelines. It's a cloud-based data warehouse for storing and analyzing streaming and batch data. It allows easy data cleaning and transformation through visual tools and machine learning-based suggestions. It's a messaging service for receiving messages from various device streams.

It handles infrastructure setup and maintenance for processing pipelines.

What feature of Looker makes it easy to integrate into existing workflows and share with multiple teams at an organization? It's cost effective. It creates easy to understand visualizations. It supports over 60 different SQL databases. It's 100% web based.

It's 100% web based.

Which option best describes a benefit of Infrastructure as a Service (IaaS)? It's cost-effective, as all infrastructure costs are handled under a single monthly or annual subscription fee. It reduces development time, as developers can go straight to coding instead of spending time setting up and maintaining a development environment. It has low management overhead, as all administration and management tasks for data, servers, storage, and updates are handled by the cloud vendor. It's efficient, as IaaS resources are available when needed and resources aren't wasted by overbuilding capacity.

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

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 secure, so the organization won't have to worry about the new subscribers data. It's cost effective, so the organization will no longer have to pay for computing once the app is in the cloud. It's scalable, so the organization could shorten their infrastructure deployment time. It provides physical access, so the organization can deploy servers faster.

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

What open source platform, originally developed by Google, manages containerized workloads and services? Angular Go TensorFlow Kubernetes

Kubernetes

Which security principle advocates granting users only the access they need to perform their job responsibilities? Zero-trust architecture Least privilege Privileged access Security by default

Least privilege

What phrase refers to when a workload is rehosted without changing anything in the workload's code or architecture. Reimagine and plan Move and improve Lift and shift Refactor and reshape

Lift and shift

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? Install and fall Build and deploy Lift and shift Move and improve

Lift and shift

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? Remain on-premises Managed database migration Refactoring Lift and shift

Lift and shift

Which technology relies on models to analyze large amounts of data, learn from the insights, and then make predictions and informed decisions? Expert systems Robotics Natural language processing Machine learning

Machine learning

Which is the responsibility of the cloud provider in a cloud security model? Configuring the customer's applications. Managing the customer's user access. Maintaining the customer's infrastructure. Securing the customer's data.

Maintaining the customer's infrastructure.

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 Containers DevOps Cloud security

Managed services

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? DevOps Microservices Monoliths Containers

Microservices

What is the benefit of implementing a transformation cloud that is based on open infrastructure? Open source software makes it easier to patent proprietary software. On-premises software isn't open source, so cloud applications are more portable. Open standards make it easier to hire more developers. Open source software reduces the chance of vendor lock-in.

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

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? Content moderation Clickbait detection Video transcription Personalized recommendations

Personalized recommendations

What common cybersecurity threat involves tricking users into revealing sensitive information or performing actions that compromise security? Ransomware Malware Configuration mishap Phishing

Phishing

Which cloud computing service model offers a develop-and-deploy environment to build cloud applications? Infrastructure as a Service (IaaS) Software as a Service (SaaS) Function as a Service (FaaS) Platform as a Service (PaaS)

Platform as a Service (PaaS)

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? Public Cloud Private Cloud Software as a service Platform as a service

Private Cloud

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? Dataproc Dataplex Pub/Sub Looker

Pub/Sub

Which Google Cloud feature allows users to control their data's physical location? Places Districts Regions Areas

Regions

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? Security Reliability Flexibility Total cost of ownership

Reliability

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? Zero trust security Cloud security posture management (CSPM) Security operations (SecOps) Site reliability engineering (SRE)

Security operations (SecOps)

What computing option automatically provisions resources, like compute power, in the background as needed? PaaS (platform as a service) Traditional on-premises computing Serverless computing IaaS (infrastructure as a service)

Serverless computing

An organization wants to move to cloud-based collaboration software, 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? IT as a service (ITaaS) Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Software as a Service (SaaS)

Software as a Service (SaaS)

What portion of a machine does a container virtualize? Software layers above the firmware level Software layers above the operating system level The entire machine Hardware layers above the electrical level

Software layers above the operating system level

Which would be the best SQL-based storage option for a transactional workload that requires global scalability? Cloud SQL Firestore Bigtable Spanner

Spanner

Which data type is highly organized and well-defined? A hybrid of structured, semi-structured, and unstructured data Structured data Semi-structured data Unstructured data

Structured data

What's the name of Google's application-specific integrated circuit (ASIC) that is used to accelerate machine learning workloads? Central Processing Unit (CPU) Graphic Processing Unit (GPU) Tensor Processing Unit (TPU) Vertex Processing Unit (VPU)

Tensor Processing Unit (TPU)

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 securing anything that they create within the cloud, such as the configurations, access policies, and user data. The customer is responsible for security of the operating system, software stack required to run their applications and any hardware, networks, and physical security. The customer is not responsible for any of the data in the cloud, as data management is the responsibility of the cloud provider who is hosting the data. The customer is responsible for all infrastructure decisions, server configurations and database monitoring.

The customer is responsible for securing anything that they create within the cloud, such as the configurations, access policies, and user data.

What is seen as a limitation of on-premises infrastructure, when compared to cloud infrastructure? Maintenance workers do not have physical access to the servers. Scaling processing is too difficult due to power consumption. The on-premises networking is more complicated. The on-premises hardware procurement process can take a long time.

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

An organization has shifted from a CapEx to OpEx based spending model. Which of these statements is true? Budgeting will only happen on an annual basis. They will only pay for what they use. They will only pay for what they forecast. Hardware procurement is done by a centralized team.

They will only pay for what they use.

Artificial intelligence is best suited for replacing or simplifying rule-based systems. Which is an example of this in action? Implementing AI to develop a new product or service that has never been seen before. Using AI to replace a human decision-maker in complex situations, such as those involving life-or-death choices. Training a machine learning model to predict a search result ranking. Using a reinforcement learning algorithm to train autonomous drones for package delivery.

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

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? Security reports Billing reports Transparency reports Compliance reports

Transparency reports

What security feature adds an extra layer of protection to cloud-based systems? Firewall as a service (FaaS) Security information and event management (SIEM) Two-step verification (2SV) Data loss prevention (DLP)

Two-step verification (2SV)

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? A local development environment Containers Virtual machine instances Colocation

Virtual machine instances

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? Speech-to-Text API Natural Language API Video Intelligence API Vision API

Vision API

Select the definition of digital transformation. When an organization uses new digital technologies to create or modify financial models for how a business is run. When an organization uses new digital technologies to create or modify on-premises business processes. When an organization uses new digital technologies to create or modify technology infrastructure to focus on cost saving. When an organization uses new digital technologies to create or modify business processes, culture, and customer experiences.

When an organization uses new digital technologies to create or modify business processes, culture, and customer experiences.

What does the consistency dimension refer to when data quality is being measured? Whether a dataset is free from duplicate values that could prevent an ML model from learning accurately. Whether all the required information is present. Whether the data is uniform and doesn't contain any contradictory information. Whether the data is up-to-date and reflects the current state of the phenomenon that is being modeled.

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