The Google Cloud Arcade Mysteries- Fill in the blanks!

[Yugali]

Another week, and yet another Arcade Mystery! You'll want to warm up your mental muscles before you start your March Adventure in the Cloud by filling in some blanks!

Filling in the blanks can enhance learning and recall while providing clarity, facilitate effective problem-solving through critical thinking, and contribute to personal development by fostering adaptability and growth. That's what our next Arcade Mystery is all about!

All you need to do is fill in the blanks with the correct answers to the questions below and three lucky winners will receive 25 GCSB credits, worth $25!

So let’s get started!

1. _____________ works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2.________ is a managed service for storing unstructured data.

3._________________ let you operate apps on multiple identical VMs.

4 ._________ is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a ________ to deploy and launch a Docker container.


All the best! May the brightest minds in the Community win!

See you in the Cloud!

[shibankarsarkar]

1. Natural Language Processing (NLP) works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Amazon S3 (Simple Storage Service) is a managed service for storing unstructured data.

3. Kubernetes (K8s) let you operate apps on multiple identical VMs.

4. Amazon Redshift is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure an Amazon Elastic Compute Cloud (EC2) instance to deploy and launch a Docker container.

[altmash2353]

1. Natural Language Processing (NLP) works by using an ML model to learn the patterns and relationships in a dataset of human-created content.
2. Amazon S3 (Simple Storage Service)is a managed service for storing unstructured data.

3. Load balancers let you operate apps on multiple identical VMs.

4 . Amazon Redshift is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a Dockerfile to deploy and launch a Docker container.

[daksh_chauhan]

1. Content generation

2. Amazon S3 (Simple Storage Service)

3. Load balancers 

4. Amazon Redshift

5.  Dockerfile

[syedsaiff]

1)Natural Language Processing (NLP)

2)Amazon S3 (Simple Storage Service)

3)Container Orchestration Systems

4)Amazon Redshift

5)Docker Compose file

[chauhanrohit]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2.  Google Cloud Storage is a managed service for storing unstructured data.

3. Compute Engine: Managed instance groups let you operate apps on multiple identical VMs.

4 . BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a virtual machine (VM) instance to deploy and launch a Docker container.

[TheSherazAnsari]

1.Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2.Google Cloud Storage (GCS) is a managed service for storing unstructured data.
3.kubernetes let you operate apps on multiple identical VMs.

4.BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a virtual machine (VM) instance to deploy and launch a Docker container.

[ayushmitra06]

1. Natural Language Processing (NLP) works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud Storage is a managed service for storing unstructured data.

3. Google Compute Engine managed instance groups let you operate apps on multiple identical VMs.

4. BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a Kubernetes cluster to deploy and launch a Docker container.

[Tejaskhope21]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.
2. Cloud Storage is a managed service for storing unstructured data.
3. Container orchestration tools like Kubernetes let you operate apps on multiple identical VMs.
4. BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
5. You can configure a Cloud Run service to deploy and launch a Docker container.

[Amey13]

1.  Generative AI
2.  Google Cloud Storage (GCS)
3.  Managed Instance Group (MIG)
4. BigQuery
5. Virtual machine (VM) instance 

[mohitpahariya9]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud is a managed service for storing unstructured data.

3.Kubernetes (K8s) let you operate apps on multiple identical VMs.

4.Google BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5.You can configure a virtual machine (VM) instance or an instance template to deploy and launch a Docker container

[MohitPahariya09]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud is a managed service for storing unstructured data.

3.Kubernetes (K8s) let you operate apps on multiple identical VMs.

4.Google BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5.You can configure a virtual machine (VM) instance or an instance template to deploy and launch a Docker container

[srujanakkera10]

1. Natural Language Processing

2. Cloud Storage

3. Container Orchestration Tools

4. BigQuery

5. Virtual Machine(VM) Instance or  Instance Template

[sid4]

1.Generative AI

2.Cloud Storage

3.kubernets

4.Bigquery

5.Virtual Machine

[krishnasowmyad]

1.AutoML (Auto Machine Learning)
2.Cloud Storage
3.Managed Instance Groups(MIGs)
4.BigQuery
5.Google Cloud Run Service

[Mahek_Gupta]

1. Natural Language Processing (NLP) works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud Storage is a managed service for storing unstructured data.

3. Managed Instance Groups (MIGs) let you operate apps on multiple identical VMs.

4. BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a Google Kubernetes Engine (GKE) to deploy and launch a Docker container.

[AmanJain18]

1. Generative AI

2. Cloud Storage

3. Managed Instance Groups (MIGs)

4. Bigquery

5. Virtual Machine Instance / Instance Group

[patrikmoeller]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud Storage is a managed service for storing unstructured data.

3. Managed instance groups (MIGs) let you operate apps on multiple identical VMs.

4. BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a virtual machine (VM) instance or an instance template to deploy and launch a Docker container.

[Ayush_Google247]

1. Generative AI

2. Cloud Storage

3. Managed Instance Groups (MIGs)

4. Bigquery

5. Virtual Machine Instance / Instance Group

[st07]

1.Generative AI

2.Cloud Storage

3.kubernetes

4.Bigquery

5.Virtual Machines

[gauravdhakate14]

Natural Language Processing (NLP) works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

Amazon S3 (Simple Storage Service) is a managed service for storing unstructured data.

Auto Scaling Groups let you operate apps on multiple identical VMs.

Amazon Redshift is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

You can configure an Amazon Elastic Compute Cloud (EC2) instance to deploy and launch a Docker container.

[JoyTseng]

1.Generative AI

2.Cloud Storage

3.Hypervisor

4.Bigquery

5.Virtual Machines

[Yashkumar]

Answers:

1. Generative AI

2. Cloud storage

3. Kubernetes

4. BigQuery

5. Virtual Machine

Hope I win the credits...

[Apu52]

1. Natural Language Processing (NLP) works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Amazon S3 (Simple Storage Service) is a managed service for storing unstructured data.

3.Load balancers let you operate apps on multiple identical VMs.

4 .Amazon Redshift is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a Docker Compose file to deploy and launch a Docker container.

[salmankhanpm]

1.Generative AI

2.Cloud Storage

3.kubernetes

4.Bigquery

5.Virtual Machines

[Google_Cloud111]

1. Generative AI

2.cloud storage

3.  container orchestration

4. Big Query

5. Virtual Machine

[Tomboy_428]

hi @Yugali   from my opion... here are the answers..

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud Storage is a managed service for storing unstructured data.

3. Managed instance groups (MIGs) in Compute Engine let you operate apps on multiple identical VMs.

4 . BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a Kubernetes cluster to deploy and launch a Docker container.

Thanks for giving such a imformative activity...

[dhruba2003]

1. Generative AI

2. Google cloud storage

3. Virtual Machine Scale Set (VMSS)

4. BigQuery

5. virtual machine (VM) instance or an instance template

[arnab_2003]

1.Generative AI

2.Cloud Storage

3.kubernetes

4.Bigquery

5.Virtual Machines

[MarcinB]

Hi.

My answers are:
1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.
2. Cloud Storage is a managed service for storing unstructured data.
3. Managed instance groups let you operate apps on multiple identical VMs.
4. BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
5. You can configure a Virtual Machines to deploy and launch a Docker container.

Thanks

[Risam]

My answers are:-
1. Generative AI
2. Google Cloud Storage
3. MIG (Managed Instance Group)
4. Big Query
5. VM (Virtual Machine)

[rkm-dev]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud Storage is a managed service for storing unstructured data.

3. Managed instance groups (MIGs) let you operate apps on multiple identical VMs.

4 . BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a virtual machine (VM) instance or an instance template to deploy and launch a Docker contain

[hitesh_07]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud Storage is a managed service for storing unstructured data.

3. Managed instance groups (MIGs) let you operate apps on multiple identical VMs.

4 . BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a virtual machine (VM) instance or an instance template to deploy and launch a Docker contain

[kara]

1. Content Recommendation System works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Amazon S3 (Simple Storage Service) is a managed service for storing unstructured data.

3. Google Kubernetes Engine (GKE) let you operate apps on multiple identical VMs.

4. Amazon Redshift is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure an Amazon Elastic Container Service (ECS) to deploy and launch a Docker container.

[Puneet00]

1.Generative AI

2.Google Cloud Storage

3. Compute Engine: Managed instance groups (MIGs)

4.Bigquery

5.Virtual Machines

#googlecloudcommunity #arcade

[Elvishhen6672]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Cloud Storage is a managed service for storing unstructured data.

3. Container Orchestration tools let you operate apps on multiple identical VMs.

4 . Bigquery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a virtual machine (VM) instance or an instance template to deploy and launch a Docker container.

[Kodagoda]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud Storage is a managed service for storing unstructured data.

3. Managed instance groups (MIGs) let you operate apps on multiple identical VMs.

4 . BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a virtual machine (VM) instance or an instance template to deploy and launch a Docker contain

[renu]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud Storage is a managed service for storing unstructured data.

3. Managed instance groups (MIGs) let you operate apps on multiple identical VMs.

4 . BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a virtual machine (VM) instance or an instance template to deploy and launch a Docker contain

[Renu_04]

1. Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content.

2. Google Cloud Storage is a managed service for storing unstructured data.

3. Managed instance groups (MIGs) let you operate apps on multiple identical VMs.

4 . BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

5. You can configure a virtual machine (VM) instance or an instance template to deploy and launch a Docker contain

[MohakSaha]

1. Generative AI

2. Google Cloud Storage

3. Managed Instance Groups

4. BigQuery

5. Virtual Machine

[Nikita_16]

1.  Generative AI
2.  Google Cloud Storage (GCS)
3.  Managed Instance Group (MIG)
4. BigQuery
5. Virtual machine (VM) instance or an instance template