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Google-PCSE information - Professional Cloud Security Engineer Updated: 2024

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Exam Code: Google-PCSE Professional Cloud Security Engineer information January 2024 by Killexams.com team

Google-PCSE Professional Cloud Security Engineer

A Professional Cloud Security Engineer enables organizations to design and implement a secure infrastructure on Google Cloud Platform. Through an understanding of security best practices and industry security requirements, this individual designs, develops, and manages a secure infrastructure leveraging Google security technologies. The Cloud Security Professional should be proficient in all aspects of Cloud Security including managing identity and access management, defining organizational structure and policies, using Google technologies to provide data protection, configuring network security defenses, collecting and analyzing Google Cloud Platform logs, managing incident responses, and an understanding of regulatory concerns.



The Professional Cloud Security Engineer test assesses your ability to:

- Configure access within a cloud solution environment

- Configure network security

- Ensure data protection

- Manage operations within a cloud solution environment

- Ensure compliance



1. Configuring access within a cloud solution environment

1.1 Configuring Cloud Identity. Considerations include:

- Managing Cloud Identity

- Configuring Google Cloud Directory Sync

- Management of super administrator account



1.2 Managing user accounts. Considerations include:

-Designing identity roles at the project and organization level

-Automation of user lifecycle management process

-API usage



1.3 Managing service accounts. Considerations include:

- Auditing service accounts and keys

- Automating the rotation of user-managed service account keys

- Identification of scenarios requiring service accounts

- Creating, authorizing, and securing service accounts

- Securely managed API access management



1.4 Managing authentication. Considerations include:

- Creating a password policy for user accounts

- Establishing Security Assertion Markup Language (SAML)

- Configuring and enforcing two-factor authentication



1.5 Managing and implementing authorization controls. Considerations include:

- Using resource hierarchy for access control

- Privileged roles and separation of duties

- Managing IAM permissions with primitive, predefined, and custom roles

- Granting permissions to different types of identities

- Understanding difference between Google Cloud Storage IAM and ACLs



1.6 Defining resource hierarchy. Considerations include:

- Creating and managing organizations

- Resource structures (orgs, folders, and projects)

- Defining and managing organization constraints

- Using resource hierarchy for access control and permissions inheritance

- Trust and security boundaries within GCP projects



2. Configuring network security

2.1 Designing network security. Considerations include:

- Security properties of a VPC network, VPC peering, shared VPC, and firewall rules

- Network isolation and data encapsulation for N tier application design

- Use of DNSSEC

- Private vs. public addressing

- App-to-app security policy



2.2 Configuring network segmentation. Considerations include:

- Network perimeter controls (firewall rules; IAP)

- Load balancing (global, network, HTTP(S), SSL proxy, and TCP proxy load balancers)



2.3 Establish private connectivity. Considerations include:

- Private RFC1918 connectivity between VPC networks and GCP projects (Shared VPC, VPC peering)

- Private RFC1918 connectivity between data centers and VPC network (IPSEC and Cloud Interconnect).

- Enable private connectivity between VPC and Google APIs (private access)



3. Ensuring data protection

3.1 Preventing data loss with the DLP API. Considerations include:

- Identification and redaction of PII

- Configuring tokenization

- Configure format preserving substitution

- Restricting access to DLP datasets



3.2 Managing encryption at rest. Considerations include:

- Understanding use cases for default encryption, customer-managed encryption keys (CMEK), and customer-supplied encryption keys (CSEK)

- Creating and managing encryption keys for CMEK and CSEK

- Managing application secrets

- Object lifecycle policies for Cloud Storage

- Enclave computing

- Envelope encryption



4. Managing operations within a cloud solution environment

4.1 Building and deploying infrastructure. Considerations include:

- Backup and data loss strategy

- Creating and automating an incident response plan

- Log sinks, audit logs, and data access logs for near-real-time monitoring

- Standby models

- Automate security scanning for Common Vulnerabilities and Exposures (CVEs) through a CI/CD pipeline

- Virtual machine image creation, hardening, and maintenance

- Container image creation, hardening, maintenance, and patch management



4.2 Building and deploying applications. Considerations include:

- Application logs near-real-time monitoring

- Static code analysis

- Automate security scanning through a CI/CD pipeline



4.3 Monitoring for security events. Considerations include:

- Logging, monitoring, testing, and alerting for security incidents

- Exporting logs to external security systems

- Automated and manual analysis of access logs

- Understanding capabilities of Forseti



5. Ensuring compliance

5.1 Comprehension of regulatory concerns. Considerations include:

- Evaluation of concerns relative to compute, data, and network.

- Security shared responsibility model

- Security guarantees within cloud execution environments

- Limiting compute and data for regulatory compliance



5.2 Comprehension of compute environment concerns. Considerations include:

- Security guarantees and constraints for each compute environment (Compute Engine, Google Kubernetes Engine, App Engine)

- Determining which compute environment is appropriate based on company compliance standards
Professional Cloud Security Engineer
Google Professional information

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Professional Cloud Security Engineer
https://killexams.com/pass4sure/exam-detail/Google-PCSE
Question: 65
Configure a virtual appliance using multiple network interfaces, with each interface connected to one of the VPC
networks.
Answer: B
Question: 66
Your company is using GSuite and has developed an application meant for internal usage on Google App Engine. You
need to make sure that an external user cannot gain access to the application even when an employee’s password has
been compromised.
What should you do?
A. Enforce 2-factor authentication in GSuite for all users.
B. Configure Cloud Identity-Aware Proxy for the App Engine Application.
C. Provision user passwords using GSuite Password Sync.
D. Configure Cloud VPN between your private network and GCP.
Answer: A
Question: 67
Your team sets up a Shared VPC Network where project co-vpc-prod is the host project.
Your team has configured the firewall rules, subnets, and VPN gateway on the host project. They need to enable
Engineering Group A to attach a Compute Engine instance to only the 10.1.1.0/24 subnet.
What should your team grant to Engineering Group A to meet this requirement?
A. Compute Network User Role at the host project level.
B. Compute Network User Role at the subnet level.
C. Compute Shared VPC Admin Role at the host project level.
D. Compute Shared VPC Admin Role at the service project level.
Answer: B
Explanation:
https://cloud.google.com/vpc/docs/shared-vpc#svc_proj_admins
Question: 68
A DevOps team will create a new container to run on Google Kubernetes Engine. As the application will be internet-
facing, they want to minimize the attack surface of the container.
What should they do?
A. Use Cloud Build to build the container images.
B. Build small containers using small base images.
C. Delete non-used versions from Container Registry.
D. Use a Continuous Delivery tool to deploy the application.
Answer: D
Explanation:
Reference: https://cloud.google.com/solutions/best-practices-for-building-containers
Question: 69
You are setting up a CI/CD pipeline to deploy containerized applications to your production clusters on Google
Kubernetes Engine (GKE). You need to prevent containers with known vulnerabilities from being deployed.
You have the following requirements for your solution:
Must be cloud-native
Must be cost-efficient
Minimize operational overhead
How should you accomplish this? (Choose two.)
A. Create a Cloud Build pipeline that will monitor changes to your container templates in a Cloud Source Repositories
repository. Add a step to analyze Container Analysis results before allowing the build to continue.
B. Use a Cloud Function triggered by log events in Google Cloud’s operations suite to automatically scan your
container images in Container Registry.
C. Use a cron job on a Compute Engine instance to scan your existing repositories for known vulnerabilities and raise
an alert if a non-compliant container image is found.
D. Deploy Jenkins on GKE and configure a CI/CD pipeline to deploy your containers to Container Registry. Add a
step to validate your container images before deploying your container to the cluster.
E. In your CI/CD pipeline, add an attestation on your container image when no vulnerabilities have been found. Use a
Binary Authorization policy to block deployments of containers with no attestation in your cluster.
Answer: C,E
Explanation:
Reference: https://cloud.google.com/architecture/prep-kubernetes-engine-for-prod
Question: 70
You need to enable VPC Service Controls and allow changes to perimeters in existing environments without
preventing access to resources.
Which VPC Service Controls mode should you use?
A. Cloud Run
B. Native
C. Enforced
D. Dry run
Answer: D
Explanation:
Reference: https://cloud.google.com/vpc-service-controls/docs/service-perimeters
Question: 71
You need to set up a Cloud interconnect connection between your company’s on-premises data center and VPC host
network. You want to make sure that on-premises applications can only access Google APIs over the Cloud
Interconnect and not through the public internet. You are required to only use APIs that are supported by VPC Service
Controls to mitigate against exfiltration risk to non-supported APIs.
How should you configure the network?
A. Enable Private Google Access on the regional subnets and global dynamic routing mode.
B. Set up a Private Service Connect endpoint IP address with the API bundle of "all-apis", which is advertised as a
route over the Cloud interconnect connection.
C. Use private.googleapis.com to access Google APIs using a set of IP addresses only routable from within Google
Cloud, which are advertised as routes over the connection.
D. Use restricted googleapis.com to access Google APIs using a set of IP addresses only routable from within Google
Cloud, which are advertised as routes over the Cloud Interconnect connection.
Answer: B
Explanation:
Reference: https://cloud.google.com/network-connectivity/docs/interconnect/concepts/overview
Question: 72
You have noticed an increased number of phishing attacks across your enterprise user accounts. You want to
implement the Google 2-Step Verification (2SV) option that uses a cryptographic signature to authenticate a user and
verify the URL of the login page.
Which Google 2SV option should you use?
A. Titan Security Keys
B. Google prompt
C. Google Authenticator app
D. Cloud HSM keys
Answer: C
Question: 73
You have noticed an increased number of phishing attacks across your enterprise user accounts. You want to
implement the Google 2-Step Verification (2SV) option that uses a cryptographic signature to authenticate a user and
verify the URL of the login page.
Which Google 2SV option should you use?
A. Titan Security Keys
B. Google prompt
C. Google Authenticator app
D. Cloud HSM keys
Answer: C
Question: 74
Your organization’s Google Cloud VMs are deployed via an instance template that configures them with a public IP
address in order to host web services for external users. The VMs reside in a service project that is attached to a host
(VPC) project containing one custom Shared VPC for the VMs. You have been asked to reduce the exposure of the
VMs to the internet while continuing to service external users. You have already recreated the instance template
without a public IP address configuration to launch the managed instance group (MIG).
What should you do?
A. Deploy a Cloud NAT Gateway in the service project for the MIG.
B. Deploy a Cloud NAT Gateway in the host (VPC) project for the MIG.
C. Deploy an external HTTP(S) load balancer in the service project with the MIG as a backend.
D. Deploy an external HTTP(S) load balancer in the host (VPC) project with the MIG as a backend.
Answer: C
Question: 75
You have noticed an increased number of phishing attacks across your enterprise user accounts. You want to
implement the Google 2-Step Verification (2SV) option that uses a cryptographic signature to authenticate a user and
verify the URL of the login page.
Which Google 2SV option should you use?
A. Titan Security Keys
B. Google prompt
C. Google Authenticator app
D. Cloud HSM keys
Answer: C
Question: 76
You have been tasked with inspecting IP packet data for invalid or malicious content.
What should you do?
A. Use Packet Mirroring to mirror traffic to and from particular VM instances. Perform inspection using security
software that analyzes the mirrored traffic.
B. Enable VPC Flow Logs for all subnets in the VPC. Perform inspection on the Flow Logs data using Cloud Logging.
C. Configure the Fluentd agent on each VM Instance within the VPC. Perform inspection on the log data using Cloud
Logging.
D. Configure Google Cloud Armor access logs to perform inspection on the log data.
Answer: B
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Google Professional information - BingNews https://killexams.com/pass4sure/exam-detail/Google-PCSE Search results Google Professional information - BingNews https://killexams.com/pass4sure/exam-detail/Google-PCSE https://killexams.com/exam_list/Google Google just killed cookies for a fraction of users, but you can kill yours right now No result found, try new keyword!All Chrome users are supposed to have had their cookie's killed by the end of 2024, but if you're antsy, and just can't wait to stop having your activities tracked, you can kill them right now. Step 1 ... Fri, 05 Jan 2024 04:18:13 -0600 en-us text/html https://www.msn.com/ Google Expands Organizational Markup Support

Expanded support for organization structured data markup

Google is broadening its support for organizational structured data markup, allowing companies to offer more information about themselves in search results. This information will be displayed in knowledge panels and other visual components on the search results page, assisting users in locating crucial data about the organizations they are searching for. By incorporating this feature, businesses can provide details such as founders, subsidiaries, logo, contact information, and more to enhance their online presence. As a result, users will have a more accurate and comprehensive understanding of the organization, leading to informed decisions and increased engagement.

Improved visibility and branding with extended markup

Since 2013, Google has permitted websites to utilize “logo” and “url” markup to designate the image and link for their logo in search results. Now, Google is facilitating the inclusion of more details, such as name, address, contact information, and business identifiers. Google will retain the existing logo structured data guidelines and integrate them with the more extensive organization markup documentation. This integration allows businesses to optimize their visibility and branding in search results by providing rich information directly to potential customers. As a result, companies can leverage these improvements to enhance user experiences and drive more traffic to their sites, ultimately increasing their online presence and potential for success.

Logo report and validations in Google Search Console

Reacting to these updates, the logo report in Google Search Console and tests in the Rich Results Test tool have shifted to more extensive organization markup validations. This test allows users to examine organization markup by submitting a URL or code snippet, giving instant feedback on the markup’s correct implementation. In addition to this, the extended organization markup validations provide insights on potential errors or improvements, ensuring optimal search appearance and user experience. As a result, businesses and website owners can now easily identify and resolve any issues pertaining to their organization’s structured data, maximizing their online presence in Google Search.

Websites with logo markup don’t have to make changes, as Google will identify it. However, Google recommends adding new organization fields if relevant. By adding these new organization fields, website owners can provide more comprehensive and accurate information, which allows Google to better understand and represent the organization in search results. Consequently, this could lead to increased visibility, improved online presence, and potentially more website traffic.

Eligibility for expanded knowledge panels

Supplying additional organization information can make companies eligible for expanded knowledge panels, like Google’s recently introduced merchant panels. These panels provide users in-depth information about a company, its products, and services, thus enhancing brand visibility and credibility. By supplying detailed organization information, businesses can better engage potential customers, boost online presence, and ultimately Boost overall marketing efforts.

Local business and organization markup considerations

For local businesses, Google advises using both local business and organization markup. On the other hand, online-only businesses should employ the “OnlineBusiness” subtype of organization markup. Utilizing the appropriate schema markup helps search engines better understand the nature of your business and Boost its visibility in local search results. This, in turn, can lead to increased web traffic and potential customers, boosting your business’s overall online presence and success.

Streamlined processes for improved user and business experiences

The goal of these updates is to streamline the process for businesses and organizations to help users find accurate information in Google Search results. By doing so, businesses can better connect with their target audience, resulting in improved customer experiences and satisfaction. This, in turn, can lead to increased growth and success for the organizations involved.

Structured data markup offers future-proofing benefits

It also highlights the advantages of websites implementing structured data markup, even if Google doesn’t currently utilize it for rich result enhancements. Incorporating structured data markup can future-proof a website, ensuring compatibility with search engine updates that may involve parsing this data for improved search results. Additionally, other search engines and platforms may already be utilizing structured data markup to optimize their content presentation, offering potential benefits in terms of search rankings and user engagement.

Staying ahead of the curve with evolving markup properties

While specific markup properties may not result in visible improvements, they prepare websites to take advantage of Google’s systems as they gain the capacity to process and display new types of structured data. Incorporating these markup properties early on allows web developers to stay ahead of the curve and ensure their content remains competitive in search engine rankings. As Google continues to innovate and introduce new features, a website that is already equipped with the necessary structured data will seamlessly adapt and maximize its potential reach.

Monitoring Google’s structured data capabilities and best practices

As Google adds to its structured data capabilities, unsupported markup may eventually become eligible for unique search features. This means that webmasters and SEO professionals should keep an eye on Google’s evolving guidelines and best practices for implementing structured data. By staying up to date, they can take advantage of any new opportunities that arise to Boost visibility and user experience within search results.
First Reported on: searchenginejournal.com

Frequently Asked Questions

What is organization structured data markup?

Organization structured data markup is a way for businesses to provide additional information about themselves in search results, such as founders, subsidiaries, logo, contact information, and more. This information can be displayed in knowledge panels and other visual components on the search results page, enhancing the company’s online presence and assisting users in finding essential data about the organization.

What is the benefit of using extended markup for businesses?

By adding extended markup, companies can optimize their visibility and branding in search results. Providing rich information directly to potential customers helps Boost user experiences and can drive more traffic to the site, ultimately increasing the organization’s online presence and potential for success.

How can businesses monitor their structured data markup?

Google Search Console offers the Logo report and Rich Results Test tool, which allow users to examine their organization markup by submitting a URL or code snippet. These tools supply instant feedback on the markup’s correct implementation and provide insights on potential errors or improvements, ensuring optimal search appearance and user experience.

While existing logo markup will still be recognized by Google, adding new organization fields is recommended, as it provides more comprehensive and accurate information about the organization. This helps Google better understand and represent the entity in its search results and could lead to increased visibility, improved online presence, and potentially more website traffic.

What is the advantage of utilizing both local business and organization markup?

For local businesses, using both local business and organization markup helps search engines better understand the nature of the company, Boost visibility in local search results, and increase web traffic and potential customers. Online-only businesses should employ the “OnlineBusiness” subtype of organization markup for similar benefits.

How does structured data markup help future-proof a website?

Incorporating structured data markup ensures compatibility with search engine updates that may involve parsing this data for improved search results. As search engines and platforms evolve, websites that implement structured data markup will be well-equipped to adapt, compete, and maximize their potential reach in search engine rankings.

Why is it important to stay up-to-date on Google’s structured data capabilities and best practices?

As Google continually updates its structured data capabilities, unsupported markup may eventually become eligible for unique search features. Webmasters and SEO professionals should monitor Google’s evolving guidelines and best practices to take advantage of new opportunities to Boost visibility and user experience within search results.

Thu, 04 Jan 2024 12:49:00 -0600 en-US text/html https://www.dmnews.com/google-expands-organizational-markup-support/
Google Pixel 8 vs iPhone 15 Pro: the big differences No result found, try new keyword!We pit the Google's latest Pixel against Apple's smallest Pro model in this Pixel 8 vs iPhone 15 Pro showdown. Tue, 02 Jan 2024 05:14:58 -0600 en-us text/html https://www.msn.com/ Qualcomm's mixed reality answer to Apple's Vision Pro is here and Samsung and Google are already on the spatial computing train No result found, try new keyword!Google was similarly thrilled. "We look forward to continuing our collaboration with Qualcomm Technologies and Samsung on the future of immersive and spatial XR,” said Shahram Izadi, vice president of ... Thu, 04 Jan 2024 07:23:00 -0600 en-us text/html https://www.msn.com/ Google Gemini vs. GPT-4: Which is the best AI? No result found, try new keyword!OpenAI's GPT-4 and Google's Gemini are two of the most advanced chatbots out there thanks to some impressive features. Which comes out on top? Let's compare. Thu, 04 Jan 2024 07:30:52 -0600 en-us text/html https://www.msn.com/ Google Pixel phones move all At a Glance settings to one place No result found, try new keyword!At a Glance provides time-sensitive information on the home screen, lock screen, or Always-On Display of Pixel phones. The latest update consolidates the At a Glance settings into a single list, ... Thu, 04 Jan 2024 03:39:04 -0600 en-us text/html https://www.msn.com/ Samsung, Google preparing to take on Apple’s Vision Pro

Qualcomm, the biggest maker of mobile phone processors, has announced the Snapdragon XR2+ chip designed for virtual and mixed reality headsets that will compete with Apple’s forthcoming Vision Pro.

The San Diego-based chip maker said the new component, which can run 12 or more high-definition cameras, will be used by Samsung Electronics and Google for products under development.

The market for devices that project information onto the user’s view of the physical world was fired up last year by Apple’s announcement that it would sell a mixed-reality headset. Qualcomm’s chips have been at the heart of many other companies’ attempts to lure consumers to the category, which hasn’t yet taken off.

Augmented reality imposes graphics and written content on top of a person’s view of the world. Virtual reality places a consumer in a closed digital world. Apple’s coming Vision Pro and Meta Platforms’ most exact Quest 3 headset mix the technologies. Previous versions of Qualcomm’s XR chip have featured in devices from Microsoft and Meta.

Headsets with the XR2+ will use processors and graphics components that are as much as 20% better than their predecessors to project 4K-resolution images on each lens, according to Qualcomm’s Said Bakadir, a senior director of product management.

Partners

That improvement in quality will ease eye fatigue from practicing text, reduce the potential for motion sickness and let device makers implement new features, he said. The chip’s ability to handle more cameras will aid in depth perception and the eye tracking required to orientate the user in the real world and recognise items.

“A lot of people want more juice to do more things,” Bakadir said. “People want to push the platform even higher.”

Read: Apple Vision Pro launch nears

Qualcomm is working with a number of partners in addition to Google and Samsung, and announcements from customers may come as soon as next week’s CES show with products available as early as this year, he said.  — (c) 2024 Bloomberg LP

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Thu, 04 Jan 2024 17:43:00 -0600 Ian King en-US text/html https://techcentral.co.za/samsung-google-apple-vision-pro/237459/
Google VideoPoet AI video generator: What is it and how does it work?
google videopoet demo

Calvin Wankhede / Android Authority

When Google announced PaLM 2 and Gemini language models in mid-2023, the search giant emphasized that its AI was multimodal. This meant it could generate text, images, audio, and even video. Traditionally, language models like ChatGPT’s GPT-4 have only excelled at reproducing text. Google’s latest VideoPoet model challenges that notion, however, as it can convert text-based prompts into AI-generated videos.

With VideoPoet, Google has become the first tech giant to announce an AI capable of generating videos. And unlike prior attempts, Google says it can also generate scenes with lots of motion rather than just subtle movements. So what’s the magic behind VideoPoet and what can it do? Here’s everything you need to know.

What is Google VideoPoet?

google videopoet block diagram

Google

Google VideoPoet is an experimental large language model that can generate videos from a text-based prompt. You can describe a fictional scene, even one as ridiculous as “A robot cat eating spaghetti,” and have a video ready to watch within seconds. If you’ve ever used an AI image generator like Midjourney or DALL-E 3, you already know what to expect from VideoPoet.

Like AI image generators, VideoPoet can also perform edits in existing video content. For example, you could crop out a portion of the video frame and ask the AI to fill in the gap with something from your imagination instead.

Google has invested in startups like Runway working on AI video generation, but VideoPoet comes courtesy of the company’s internal efforts. The VideoPoet technical paper enlists as many as 31 researchers from Google Research.

How does Google VideoPoet work?

google how does videopoet work

Google

In the aforementioned paper, Google’s researchers explained that VideoPoet differs from conventional text-to-image and text-to-video generators. Unlike Midjourney, for example, VideoPoet does not use a diffusion model to generate images from random noise. That approach works well for individual images but falls flat for videos where the model needs to account for motion and consistency over time.

At its core, Google’s VideoPoet is a large language model. This means that it’s based on the same technology powering ChatGPT and Google Bard that can predict how words fit together to form sentences. VideoPoet takes that concept a step further as it’s also capable of predicting video and audio chunks, and not just text.

VideoPoet is a large language model that generates videos instead of text.

VideoPoet required a specialized pre-training process which involved translating images, video frames, and audio clips into a common language, called tokens. Put simply, the model learned how to interpret different modalities from the training data. Google says that it used one billion image-text pairs and 270 million public video samples to train VideoPoet. Ultimately, VideoPoet has become capable of predicting video tokens just like a traditional LLM model would predict text tokens.

VideoPoet has a robust foundation thanks to its training that allows it to perform tasks beyond text-to-video generation as well. For example, it can apply styles to existing videos, perform edits like adding background effects, change the look of an existing video with filters, and change the motion of a moving object in an existing video. Google demonstrated the latter with a raccoon dancing in various styles.

VideoPoet vs. rival AI video generators: What’s the difference?

Meta logo on smartphone stock photo (5)

Edgar Cervantes / Android Authority

Google’s VideoPoet differs from most of its rivals that rely on diffusion models to turn text into videos. However, it’s not exactly the first – a smaller number of Google Brain researchers presented Phenaki last year. Likewise, Meta’s Make-A-Video project made waves in the AI community for generating diverse videos without training on video-text pairs beforehand. However, neither models were publicly released.

So given that we don’t have access to any video-generating models, we can only rely on the information Google has provided about VideoPoet. With that in mind, the paper’s authors assert that “In many cases, even the current leading models either generate small motion or, when producing larger motions, exhibit noticeable artifacts.” VideoPoet, on the other hand, can handle more motion.

VideoPoet can generate longer videos and handle motion more gracefully than the competition.

Google also says that VideoPoet can generate longer videos than the competition. While it’s limited to an initial burst of two-second videos, it can maintain context across eight to ten seconds of video. That may not sound like much but it’s impressive given how much a scene could change in that time period. Having said that, Google’s example videos only include a few dozen frames, far from the 24 or 30 frames per second benchmark used for professional video or filmmaking.

Google VideoPoet availability: Is it free?

google videopoet samples

Google

While Google has published dozens of example videos to demonstrate the strengths of VideoPoet, it stopped short of announcing a public rollout. In other words, we don’t know when we’ll be able to use VideoPoet, if at all.

Google hasn't announced a product or release date for VideoPoet yet.

As for pricing, we may have to take the hint from AI image generators like Midjourney that are only available via a subscription. Indeed, AI-generated images and videos are computationally expensive so opening up access to everyone may not be feasible, even for Google. We’ll have to wait for a disruptive release like OpenAI’s ChatGPT to force the search giant’s hand. Until then, we’ll simply have to wait and watch from the sidelines.

Mon, 01 Jan 2024 08:21:00 -0600 en text/html https://www.androidauthority.com/google-videopoet-3398871/
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