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NEW QUESTION # 90
An organization is searching for an open-source machine learning platform to build and deploy their own custom machine learning applications using TPUs.
Which Google Cloud product or service should the organization use?
- A. TensorFlow
- B. Vision API
- C. AutoML Vision
- D. BigQuery ML
Answer: A
Explanation:
https://en.wikipedia.org/wiki/TensorFlow TensorFlow is a free and open-source software library for machine learning and artificial intelligence. Developer Google Brain Team
NEW QUESTION # 91
The government has mandated that companies in a particular section of healthcare must retain all the data they collect for a period of 10 years in case an audit needs to be done. Your client, who is in that industry, needs to follow regulations. In addition, your client wants to do an analysis of the data quite frequently in the first year. They also don't want to be liable for any data beyond year 10. What would recommend for your customer?
- A. Use Cloud Storage with standard storage in year one and Coldline storage there-after. Set a Cloud Tasks to trigger for 1 year to change storage types and 10 years to delete the data.
- B. Use Cloud Storage with nearline storage in year one and Coldline storage thereaf-ter. Use Object lifecycle management to move between storage types and delete them after 10 years.
- C. Use Cloud Storage with standard storage in year one and Coldline storage there-after. Set a Cloud Scheduler trigger for 1 year to change storage types and 10 years to delete the data.
- D. Use Cloud Storage with standard storage in year one and archival storage thereaf-ter. Use Object lifecycle management to move between storage types and delete them after 10 years.
Answer: D
Explanation:
Cloud storage supports Object Lifecycle Management. To support common use cases like setting a Time to Live (TTL) for objects, retaining noncurrent versions of objects, or "downgrading" storage classes of objects to help manage costs, Cloud Storage offers the Object Lifecycle Management feature.
Standard storage is recommended for frequently accessed data and Archive for data accessed less than once a year.
Nearline, Coldline, and Archive offer ultra-low-cost, highly-durable, highly available archival storage. For data accessed less than once a year, Archive is a cost-effective storage option for the long-term preservation of data. Coldline is also ideal for cold storage-data your business expects to touch less than once a quarter. For warmer storage, choose Nearline: data you expect to access less than once a month, but possibly multiple times throughout the year.
NEW QUESTION # 92
Your client has an on-premises data center. Due to technical limitations, they are unable to scale globally. They have decided to adopt the public cloud. However, they don't want to locked into any one vendor and, therefore, would like to work with multiple cloud providers. They have used open source container technologies and would like to continue using them.
- A. Kubernetes that runs containers as their core workloads
- B. Anthos that runs containers as their core workloads
- C. AppEngine Flexible Environment which supports containers
- D. Cloud Run which supports containers and can scale in a serverless fashion
Answer: B
Explanation:
Anthos unifies the management of infrastructure and applications across on-premises, edge, and in multiple public clouds with a Google Cloud-backed control plane for consistent operation at scale.
NEW QUESTION # 93
An organization wants to add a new function to their application. They want to write the code and let the public cloud provider handle the infrastructure.
Which infrastructure solution should they use?
- A. Virtual machines
- B. Serverless computing
- C. Bare Metal Solution
- D. Container Registry
Answer: B
Explanation:
Serverless computing , as public cloud prouder(eg. google) will mange the infra things
NEW QUESTION # 94
Google Cloud Platform (GCP) provides three main compliance resource webpages. What are they? (Select Three Answer)
- A. Support Hub
- B. Compliance Offerings
- C. Compliance Reports Manager
- D. GDPR Home Page
- E. TechCentral
Answer: B,C,D
Explanation:
Compliance Reports Manager, GDPR Home Page, Compliance Offerings
GCP provides three main compliance resource webpages
Compliance Reports Manager - https://cloud.google.com/security/compliance/compliance-reports-manager
Compliance Offerings - https://cloud.google.com/security/compliance/offerings
GDPR Resource Center - https://cloud.google.com/security/gdpr/resource-center At Google Cloud, we champion initiatives that prioritize and improve the security and privacy of customer personal data, and want you, as a Google Cloud customer, to feel confident using our services in light of GDPR requirements. If you partner with Google Cloud, we will support your GDPR compliance efforts
NEW QUESTION # 95
Considering Google Cloud Storage different Options which of the following is / are correct on the basis of their real world use cases?
- A. Cloud Storage : Images, Large Media, files , backups.
- B. Cloud SQL : User Credentials, customer orders.
- C. Google Cloud BigTable : AdTech, Financial and IoT Data.
- D. All of the Above.
Answer: D
Explanation:
Cloud Datastore is the best for semi-structured application data that is used in app engines' applications.
Bigtable is best for analytical data with heavy read/write events like AdTech, Financial or IoT data. Cloud Storage is best for structured and unstructured, binary or object data like images, large media files and backups. SQL is best for web frameworks and in existing applications like storing user credentials and customer orders. Cloud Spanner is best for large scale database applications that are larger than two terabytes; for example, for financial trading and e-commerce use cases. As I mentioned at the beginning of the module, depending on your application, you might use one or several of these services to get the job done.
NEW QUESTION # 96
You are working with the head of the IT team and planning the move of computing systems. The questionnaire indicates that they have a reporting application that runs almost 24 hours every day of the week.
When there is extra load, it queues up the processing and executes tasks when there is less demand. Which of these compute options would you recommend for them?
- A. Use a serverless option - Cloud Functions
- B. Serverless option - Cloud Run
- C. Use a server-based option - Compute Engine.
- D. Use a serverless option - App Engine Standard for Flex
Answer: A
Explanation:
- Because Compute Engine VMs are the preferred compute option as they are long-running.
NEW QUESTION # 97
You are a program manager within a Software as a Service (SaaS) company that offers rendering software for animation studios. Your team needs the ability to allow scenes to be scheduled at will and to be interrupted at any time to restart later. Any individual scene rendering takes less than 12 hours to complete, and there is no service-level agreement (SLA) for the completion time for all scenes. Results will be stored in a global Cloud Storage bucket. The compute resources are not bound to any single geographical location. This software needs to run on Google Cloud in a cost-optimized way.
What should you do?
- A. Deploy the application on Compute Engine using preemptible instances
- B. Create a reservation for the minimum number of Compute Engine instances you will use
- C. Start more instances with fewer virtual centralized processing units (vCPUs) instead of fewer instances with more vCPUs
- D. Develop the application so it can run in an unmanaged instance group
Answer: A
Explanation:
https://cloud.google.com/compute/docs/instances/preemptible
NEW QUESTION # 98
How should a multinational organization that is migrating to Google Cloud consider security and privacy regulations to ensure that it is in compliance with global standards?
- A. Comply with data security and privacy regulations in each geographical region
- B. Comply with regional data security regulations, because they're more complex than privacy standards
- C. Comply with international standards for data security and privacy, because they supersede all regional regulations
- D. Comply with regional standards for data security and privacy, because they supersede all international regulations
Answer: A
Explanation:
Explanation
Comply with data security and privacy regulations in each geographical region For a multi-national corporation, they need to abide not just by international laws, but also regional laws where they do business.
NEW QUESTION # 99
What DevOps practice should an organization use when developing their application to help minimize disruption caused by bugs?
- A. Pause production until all bugs have been eliminated
- B. Implement large changes together to make rolling back easier when bugs appear
- C. Prioritize fixing large bugs during production because they are easier to review
- D. Implement small changes incrementally to reduce recovery time when bugs appear
Answer: D
Explanation:
Explanation
One of the key principles of DevOps is to release changes frequently and in small batches. This helps to reduce the risk of disruption caused by bugs. If a bug is introduced in a small change, it is easier to identify and fix the bug without affecting a large number of users.
NEW QUESTION # 100
An online retail organization wants to optimize their service.
What is an example of unstructured data that they can use to make decisions?
- A. Seller location coordinates
- B. Warehouse inventory records
- C. Product sales trends
- D. Customer survey comments
Answer: D
Explanation:
Explanation
https://cloud.google.com/storage/docs/requester-pays
NEW QUESTION # 101
What are the network requirements for Private Google Access?
- A. Private Google Access automatically enables any API.
- B. None of the Above
- C. Both A and B
- D. Your network must have appropriate routes for the destination IP ranges used by Google APIs and services.
Answer: D
Explanation:
Network requirements for Private Google Access:
- Because Private Google Access is enabled on a per-subnet basis, you must use a VPC network. Legacy networks are not supported because they don't support subnets.
- Private Google Access does not automatically enable any API. You must separately enable the Google APIs you need to use via the APIs & services page in the Google Cloud Console.
- If you use the private.googleapis.com or the restricted.googleapis.com domain names, you'll need to create DNS records to direct traffic to the IP addresses associated with those domains.
- Your network must have appropriate routes for the destination IP ranges used by Google APIs and services. These routes must use the default internet gateway next hop. If you use the private.googleapis.com or the restricted.googleapis.com domain names, you only need one route (per domain). Otherwise, you'll need to create multiple routes.
- Egress firewalls must permit traffic to the IP address ranges used by Google APIs and services. The implied allow egress firewall rule satisfies this requirement. For other ways to meet the firewall requirement.
NEW QUESTION # 102
You are working in a company where you need to store Terabytes of Image Data daily and process them e.g.
Taking photos of the entire planet 24 hours every day with satellite and sending data to data centres to store and process it. Which of the following would be the best combination for your infrastructure.
You are working in a company where you need to store Terabytes of Image Data daily and process them e.g.
Taking photos of the entire planet 24 hours every day with satellite and sending data to data centres to store and process it. Which of the following would be the best combination for your infrastructure.
- A. Bare Metal Solutions with Google Cloud Storage.
- B. Google Cloud Storage & Preemptible VMs.
- C. None of the Above
- D. Google Cloud Storage & Google Cloud Compute Engines
Answer: B
Explanation:
The above is a real world example of a company named Planet, where they sent around 80+ satellites to take pictures of earth every day, 24 hours. They run around 40,000 preemptible VMs concurrently.
Preemptible instances function like normal instances but have the following limitations:
Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to zone depending on current conditions.
Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this 24- hour counter.
Preemptible instances are finite Compute Engine resources, so they might not always be available.
Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.
Due to the above limitations, preemptible instances are not covered by any Service Level Agreement (and, for clarity, are excluded from the Compute Engine SLA).
The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.
Reference link- https://cloud.google.com/compute/docs/instances/preemptible
NEW QUESTION # 103
How does Google Cloud ensure that customer data remains secure and private when at rest?
- A. By aggregating training data for customers within each industry
- B. By providing privacy reviews for critical customer applications
- C. By automatically locking files containing suspicious code
- D. By auditing platform privacy practices against industry standards
Answer: D
Explanation:
Google Cloud commitment to keep the data secure and private:
1. Org owns the data and not Google
2. Google does not sell data to 3rd parties
3. All customer data is encrypted by default
4. Google Cloud guards insider against your data
5. No backdoor access to any govt. entity
6. Google's privacy practices are audited against international standards
NEW QUESTION # 104
With respect to the Core Feature of Standby Instances of Cloud SQL which one of the options is correct.?
- A. The standby instance is used in high availability to replace the primary instance when failover occurs.
The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance need to be manually transferred to the standby instance. - B. None of the Above.
- C. The standby instance is used in high availability to replace the primary instance when failover occurs.
The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance are automatically transferred to the standby instance. - D. The standby instance is used in high availability to replace the primary instance when failover occurs.
The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automati-cally transferred to the standby instance.
Answer: D
Explanation:
The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.
Cloud SQL Key Terms:
Cloud SQL instance
A Cloud SQL instance corresponds to one virtual machine (VM). The VM includes the database instance and accompanying software containers to keep the database instance up and running.
Database instance
A database instance is the set of software and files that operate the databases: MySQL, PostgreSQL or SQL Server.
High availability
Cloud SQL instances using high availability (HA) provide greater reliability than non-HA instances.
HA in Cloud SQL works by having two synchronized instances: a primary instance and a standby instance.
Each instance has exactly one VM. Each instance is in a different zone in the same region.
Failover
A failover is when Cloud SQL switches serving from the original primary instance to the standby instance.
Autofailover is a mechanism that automatically triggers failover when a Cloud SQL instance didn't issue a heartbeat in the previous interval.
Standby instances
The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.
Clone
When you clone a Cloud SQL instance, you create a new instance that is a copy of the source instance, but is completely independent. After cloning is complete, changes to the source instance are not reflected in the clone, and changes in the clone are not reflected in the source instance.
Replication
Replication is the ability to create copies of a Cloud SQL instance or an on-premises database, and offload work to the copies. The main reason for using replication is to scale the use of data in a database without degrading performance on the primary instance.
Read replica
The read replica is an exact copy of the primary instance. Data and other changes on the primary instance are updated in almost real time on the read replica. Send your write transactions to the primary instance, and your read requests to the read replica. The read replica processes queries, read requests, and analytics traffic, thus reducing the load on the primary instance.
Source server
Replication copies transactions from a primary instance to one or more read replicas. The primary instance is also called the source server. The source server can be a Cloud SQL primary instance, or a server outside of Google Cloud, such as an on-premises server or a server running in a different cloud. If the source server is outside of Google Cloud, we call it Replication from an external server.
Cloud SQL Auth proxy client
The Cloud SQL Auth proxy client is open source software maintained by Cloud SQL. It connects to a companion process, the Cloud SQL Auth proxy server, running on your Cloud SQL instance. You run the Cloud SQL Auth proxy client on your own servers. The Cloud SQL Auth proxy client can be used to establish a secure SSL/TLS connection to the database instance, and/or to avoid having to open the firewall.
Authentication is done through Identity and Access Management (IAM).
NEW QUESTION # 105
Your organization uses Active Directory to authenticate users. Users' Google account access must be removed when their Active Directory account is terminated.
How should your organization meet this requirement?
- A. Configure BeyondCorp and Identity-Aware Proxy in the Google domain
- B. Configure single sign-on in the Google domain
- C. Configure two-factor authentication in the Google domain
- D. Remove the Google account from all IAM policies
Answer: B
Explanation:
Explanation
Configure single sign-on in the Google domain
Single sign-on: Whenever a user needs to authenticate, Google Cloud delegates the authentication to Active Directory by using the Security Assertion Markup Language (SAML) protocol. This delegation ensures that only Active Directory manages user credentials and that any applicable policies or multi-factor authentication (MFA) mechanisms are being enforced. For a sign-on to succeed.
https://cloud.google.com/architecture/identity/federating-gcp-with-active-directory-introduction Reference Link- https://cloud.google.com/architecture/identity/single-sign-on
NEW QUESTION # 106
An organization wants to collect metrics and metadata from their cloud applications and put them into dashboards.
Which Google Cloud tool should they use?
- A. Cloud Debugger
- B. Cloud Logging
- C. Cloud Monitoring
- D. Cloud Trace
Answer: C
Explanation:
Explanation
https://cloud.google.com/monitoring
NEW QUESTION # 107
Which Google Cloud product gives you a consistent platform for multi-cloud application deployments and extends other Google Cloud services to your environment?
- A. Virtual Public Cloud
- B. Compute Engine
- C. Anthos
- D. Google Kubernetes Engine
Answer: C
Explanation:
https://cloud.google.com/anthos
NEW QUESTION # 108
Cloud Data Loss Prevention (DLP) is a fully managed service designed to help discover, classify, and protect the most sensitive data. DLP provides three key features (Select Three Answers)
- A. De-classification
- B. Reinspection
- C. Classification
- D. De-identification
- E. Inspection
Answer: C,D,E
Explanation:
Explanation
Classification. De-classification and Inspection
Classification is the process to inspect the data and know what data we have, how sensitive it is, and the likelihood. Inspection and classification happen here.
De-identification is the process of removing, masking, replacing information from data.
Reference link- https://cloud.google.com/dlp/docs
NEW QUESTION # 109
Your organization is developing a plan for migrating to Google Cloud.
What is a best practice when initially configuring your Google Cloud environment?
- A. Define your resource hierarchy with an organization node on top
- B. Create projects based on tem members' requests
- C. Create a project via Google Cloud Console per department in your company
- D. Make every member of your company the project owner
Answer: C
NEW QUESTION # 110
When is data automatically encrypted in Google Cloud?
- A. Data is not automatically encrypted by default.
- B. When it is in transit only.
- C. When it is at rest and in transit.
- D. When it is at rest only.
Answer: C
Explanation:
The correct answer is B. When it is at rest and in transit. Here's why:
* Context of the Question: The question is about when data is automatically encrypted by Google Cloud.
* Google Cloud Product Relevance:
* Google Cloud automatically encrypts data at rest and in transit. This means that data stored in Google Cloud (such as in Google Cloud Storage or BigQuery) is encrypted by default to protect it from unauthorized access. Similarly, data in transit between Google Cloud services or between users and Google Cloud is encrypted using TLS (Transport Layer Security).
* These automatic encryption measures are part of Google's comprehensive approach to data security, ensuring that data remains protected throughout its lifecycle.
* Why Not Other Options:
* A. When it is at rest only: This is incorrect because data is also encrypted in transit.
* C. When it is in transit only: This is incorrect because data is also encrypted at rest.
* D. Data is not automatically encrypted by default: This is incorrect as Google Cloud provides automatic encryption for data both at rest and in transit.
Google Cloud Digital Leader References:
* Refer to Google Cloud Encryption documentation for more information on how data is encrypted in Google Cloud.
NEW QUESTION # 111
You are working with a government agency. A web application serves users of the country. It al-lows citizens to receive certain services in providing their national identity. Citizens have com-plained that they are seeing delays in web page loading compared to before. On investigating, they are seeing a lot of spurious traffic coming in from a few IPs which they have identified as for-eign. What should they do?
- A. Setup Firewall rules to allow access only to the IPs from within the country.
- B. Setup Firewall rules to deny access to the malicious IPs.
- C. Setup Cloud NAT and remove all the internal IPs and replace it with a single public IP.
- D. Setup Cloud Armor and add the malicious IPs to the deny list.
Answer: D
Explanation:
Cloud Armor provides DDoS protection for applications. It can also "Filter your incoming traffic based on IPv4 and IPv6 addresses or CIDRs. Enforce geography-based access controls to allow or deny traffic based on source geo using Google's geoIP mapping."
NEW QUESTION # 112
An organization wants to use Apigee to manage all their application programming interfaces (APIs).
What will Apigee enable the organization to do?
- A. Analyze application development speed
- B. Measure and track API performance Most Voted
- C. Increase application privacy
- D. Market and sell APIs
Answer: B
Explanation:
Explanation
Apigee's API Monitoring enables you to track your APIs to make sure they are up and running correctly. API Monitoring provides near real-time insights into API traffic and performance, to help you quickly diagnose and solve issues as they arise.
Apigee works with APIs not necessarily applications. It allows organizations to gain actionable insights across the entire API value chain and monetize API products and maximize the business value of digital assets.
https://cloud.google.com/apigee#section-11
NEW QUESTION # 113
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