–How Does Compute Engine Improve Quality And Time To Market?– –Google bills in per-second increments, so you only pay for the compute time you use. With sustained use discounts,– –Google automatically gives discounted prices for long-running workloads with no up-front commitment required.– –Google can capture up to a petabyte of data on one Transfer Appliance … Read more
–How Does Cloud Storage Deliver Simplicity?– –Most reliable service, according to Gartner.– –Single API and millisecond data access latency across storage classes.– –By providing intelligence from data.– –Includes tape libraries and backup capabilities.–
–How Does Cloud IoT Help Organizations Unlock Business Insights In Real Time From Data Across Globally Dispersed Devices?– –It connects globally distributed industrial devices into a single network that can be managed efficiently and serves as a new data source for an organization’s analytic systems to support improved operational efficiency.– –It has a deep interoperability … Read more
–How Does Cloud Functions Connect And Extend Cloud Services?– –It removes unnecessary data from a container.– –It provides a layer of logic so that organizations can write code to access other services.– –It patches operating systems.– –It adds files to a storage system.–
–How Does BigQuery Data Transfer Service Work?– –Allows organizations to easily use MapReduce, Pig, Hive, and Spark to process data before storing it, for example, in Cloud Storage or BigQuery.– –Automates loading data into BigQuery from YouTube, AdWords, and DoubleClick.– –Scales up to handle massive computing loads quickly and efficiently.– –Analyzes data to capture insights … Read more
–“High Availability And Durability Just There: You Don’t Need To Think About It Or Manage It. No Scheduled Downtime For Upgrades, Resizing Or Configuration Changes.” Which Of The Following Concerns Is Addressed By This Cloud Datastore Value Proposition?– –Scalability– –Reliability– –Infrastructure costs– –Performance–
–Mobile app teams can integrate their mobile apps with one of the available __________ and manage the integrated Firebase services via _____________ which includes tools from Google for developing apps, engaging with users, and earning more through mobile ads.– –VMs (virtual machines), App Engine– –containers, Docker– –data kits, the interface– –SDKs (software development kits), the … Read more
–Google Cloud’s AI Provides Modern Machine Learning Services, With ________ Models And A Service To Generate Your Own __________ Models.– –pre-trained, tailored– –virtual machine, dataset– –scalable, batch– –storage, process–
–For Organizations That Want A Large-Scale Machine Learning Service, Select The Value ML Provides.– –Cloud Job Discovery provides a highly intuitive job search that anticipates what job seekers are looking for and surfaces targeted recommendations that help them discover new opportunities.– –Cloud Translation API provides a simple programmatic interface for translating an arbitrary string into … Read more
–Firebase Helps Mobile Application Development Teams:– –Develop faster and easier with cloud backend services.– –Eliminate the need to buy, build, and operate computing hardware.– –Transfer data from on-premises to the cloud.– –Route packets across the globe and store data closest to the user.–
–During The App Building Process, Which Of These Challenges Are Relieved By App Engine That Organizations Would Have Previously Had To Do On Their Own? Select The 3 Correct Answers.– –Control over the virtual-machine infrastructure.– –Grow the app as their computing needs increase.– –Build their own infrastructure.– –Make sure it’s available night and day.–
–Developer Agility Comes From Building Systems Composed Of Small, Independent Units Of Functionality Focused On Doing One Thing Well, So How Does Cloud Functions Help Improve Developer Agility?– –Cloud Functions lets organizations build and deploy services at the level of a single function, not at the level of entire applications, containers, or VMs.– –Cloud Functions … Read more
–Considering Where It fits In The GCP, Cloud Datastore Is Good For:– –Highly structured databases or transactional databases.– –Organizations with non-relational data that want to reduce their operations burden with an enterprise-grade database.– –Relational database management at scale that requires high availability and HTAP.– –Flat data and databases with lots of read-write actions.–
–Compute Engine Is Ideal For Organizations That:– –Need a fully managed database service.– –Don’t want to touch a server or infrastructure.– –Need to connect and extend cloud services.– –Need complete control over the virtual-machine infrastructure.–
–Compared To Compute Engine And App Engine, What Type Of Solution Is Kubernetes Engine?– –Serverless Logic– –Hybrid– –IaaS– –PaaS–
–Cloud Storage ____________ Object (Or BLOB) Data. Organizations Can Store An Unlimited Number Of Objects, Up To 5 ___________ In Size Each.– –stores and serves, terabytes– –processes and analyzes, petabytes– –transforms and organizes, zettabytes– –ingests and transfers, gigabytes–
–Cloud IoT Is A Set Of Fully Managed And Integrated Services That Allows Organizations To Easily And Securely Connect, Manage, And Collect Data From Devices Across The Globe At A Large Scale. Knowing This, What Stage Of Big Data Processing Does Cloud IoT Belong In?– –Analyze– –Process– —Ingest— –Storage–
–Cloud Firestore Is:– –An industry-leading local SDD that integrates with the other products in the Google Cloud Platform suite.– –An enterprise-grade database service built for the cloud specifically to combine the benefits of relational database structure with relational horizontal scale.– –A tool for developing and executing a wide range of data processing patterns on very … Read more
–“Cloud Datastore Enables You To Hand Off The Responsibility Of Running A Highly Scalable Document-Oriented Database To Google. From 10 Users To 100s Of Millions Of Users, You Will No Longer Need To Spend Time Optimizing, Configuring The Database, Updating It, Or Monitoring System Health.” Which Of The Following Concerns Is Addressed By This Cloud … Read more
–Cloud Dataflow Is A Tool For Developing And Executing A Wide Range Of Data Processing Patterns On Very Large Datasets. Which Of These Examples Aligns With What Cloud Dataflow Can Do?– –Process queries written in structured query language (SQL).– –Scale without downtime.– –Perform the transformations in “extract, transform, and load (ETL).– –Develop apps faster and … Read more