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Machine Learning Is A Branch Of Computer Science That:

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Is a tool for developing and executing a wide range of data processing patterns on very large datasets.Is how you retrieve information from a...

What Dataset Type Is Vital To Machine Learning?

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Market datasetsQA datasetsTraining datasetsPredictive datasets

The Cloud Dataproc Approach Allows Organizations To Use Hadoop/Spark/Hive/Pig When Needed. It Takes On...

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The separation of storage and compute.The use of queries and containers.The configuration of jobs and workflows.The absence of management and maintenance.

Which Of These Statements Best Expresses What You Can Do With Cloud Dataflow?

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“I need access to near real-time reports, even if the data is speculative or sampled.”“I wish I could run queries to organize my batch...

A Query Is How You Retrieve Information From A Database, So Which Of These...

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Table with Data > Query > DatabaseQuery > Table with Data > DatabaseTable with Data > Database > QueryQuery > Database > Table with...

How Does Cloud IoT Help Organizations Unlock Business Insights In Real Time From Data...

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It has a deep interoperability with business intelligence (BI) tools, allowing it to connect multiple devices around the globe through the tools themselves.It connects globally...

What Are Some Business Challenges That Cloud Dataproc Addresses?

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High PUC cores and GPUsEase of use and speedIdle clusters and scaling inflexibilityIntegration and customization

What Does Cloud Dataproc Do To Help Organizations Avoid Expensive Underutilized Clusters?

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Cloud Dataproc runs clusters ephemerally; in other words, only when needed.Cloud Dataproc charges at a per-minute rate for each cluster, reducing costs.Cloud Dataproc attaches...

Google Cloud’s AI Provides Modern Machine Learning Services, With ________ Models And A Service...

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virtual machine, datasetscalable, batchstorage, processpre-trained, tailored

Cloud Dataflow Is A Tool For Developing And Executing A Wide Range Of Data...

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Process queries written in structured query language (SQL).Perform the transformations in “extract, transform, and load (ETL).”Scale without downtime.Develop apps faster and easier with cloud...

What Business Challenges Does Cloud IoT Address? Select The 3 Correct Answers.

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GrowthMassively parallel databasesOptimizes costReduces risk

How Is BigQuery Ideal For Organizations That Run A Data Warehouse?

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BigQuery isolates data for machine learning.BigQuery improves analytics, lowers warehousing costs, and includes connectivity to other GCP products.BigQuery lets data analysts run data processsing...

For Organizations That Want A Large-Scale Machine Learning Service, Select The Value ML Provides.

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Cloud Machine Learning Engine makes it easy to build sophisticated, large-scale machine learning models across a broad set of scenarios.Cloud Job Discovery provides a highly...

What Business Value Can BigQuery Provide?

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Customer 360 analysis and log analysisAvailability, security, and preferred locationsMachine learning APIs and TensorflowMassively parallel databases and multiple data marts

Which Of These Benefits Correspond To Business Challenges That Are Addressed By Cloud IoT?

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Cloud IoT provides compute power across the globe at nearline locations.Cloud IoT scales with big data workloads so that organizations can collect more data...

What Is The Value That Cloud Data flow Can Provide?

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Eliminates the need to buy, build, and operate computing hardware.Getting queries answered rapidly over very large data sets.Accelerates development for batch and streaming data...

Within The Big Data Processing Model, Which Description Defines Where Cloud Pub/Sub Falls And...

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Cloud Pub/Sub ingests event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics.Cloud Pub/Sub stores data and ensures accessibility without compromising...

BigQuery Has The Ability To Scale Seamlessly; What Is Another Benefit When It Comes...

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Almost NoOps, with downtime-free upgrades and maintenanceNo queriesEmpty space storageZeroOps, with governance or maintenance required

Likened To A Connector, Which Description Best Aligns To Cloud Pub/Sub’s Role In GCP?

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Cloud Pub/Sub takes the existing data processing pipeline and processes it alongside an incoming stream of input data, performs transforms on that data to gain...

Which Challenge Is Cloud IoT Designed To Address?

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Organizations find it difficult to stay ahead when they continuously have to accommodate new data sources and more data without sacrificing efficiency.Accepting that most devices...

What Is The Business Value That Cloud Pub/Sub Can Provide?

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Availability, throughput, and latencySources, sinks, and transformsVMs, network, and Non-SQLQueries, machine learning, and compute

BigQuery Can Bring In Other Google Products Because Within The Common Big Data Processing...

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Ingest and StorageApps and DevicesStorage and AnalyzeIngest and Process

Which Of These Statements Best Describes The Kinds Of Transforms A Cloud Dataflow Pipeline...

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Cloud Dataflow takes a query and runs information from the database through it to produce tables of data organized according to the requirements of the...

What Is Cloud SQL?

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Cloud SQL helps organizations capture data and rapidly pass massive amounts of messages securely between other Google Cloud Platform big data tools and other software...

What Is A Common Use Case For Moving Data To GCP? Select The 2...

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Virtual Private CloudData center migrationPreferred locationsDecommission tape libraries and infrastructure

What Business Challenges Does Cloud Bigtable Address? Select The 2 Correct Answers.

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Access from storage to compute servers within the regionScaling without downtimeTime to market for data-intensive applicate

Cloud Firestore Is Good For:

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Developing mobile and web applications and reducing operational burden with an enterprise-grade database.Organizations that need to store binary data such as images, media serving,...

With Cloud Firestore, You No Longer Need To Determine The Number Of Nodes Or...

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It’s a fully managed compute service.It’s a database service that allows complete control.It’s a database service that uses SQL.It’s a fully managed database service.

Cloud Storage Is Good For:

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Testing data that’s used to validate data sets.Training data that’s used in machine learning.Tertiary data such as website traffic, clicks, and returning page visitors.Binary...

Which Statement Best Defines Where Data Transfers fit Within The GCP?

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Data transfer options reduce risk by providing a better understanding of what is happening to allow for greater visibility.Data transfer options lead to many...

Which Of The Following Describes Cloud Firestore’s Business Value?

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Cloud Firestore provides daily results for queries to show the changing data.Cloud Firestore provides multi-document ACID transactions for SQL databases.Cloud Firestore helps you schedule...

Why Is Cloud Bigtable Great For IoT And User Analytics?

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Because Cloud Bigtable is a high-performance NoSQL database service for large analytical and operational workloads.Because Cloud Bigtable lowers warehousing costs and augments existing warehouses.Because...

What Type Of Database Is Cloud SQL?

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Non-relational databaseWarehouse databaseObject databaseRelational database

Which Of These Statements About Cloud Datastore Is FALSE?

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Cloud Datastore is aligned to non-relational database requirements and is good for heavy read and write, events, and analytical data.Cloud Datastore is ideal for rapid...

“High Availability And Durability Via Replications Is Just There; You Don’t Need To Think...

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Infrastructure costsPerformanceScalabilityReliability

Using Your Understanding Of GCP Options/Products Meant To Address Storage And Database Areas, Which...

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Cloud Bigtable is a fully managed database service that makes it easy to set up, maintain, manage, and administer relational MySQL and PostgreSQL databases in...

“Cloud Datastore Enables You To Hand Off The Responsibility Of Running A Highly Scalable...

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ReliabilityScalabilityPerformanceInfrastructure costs

Cloud Storage ____________ Object (Or BLOB) Data. Organizations Can Store An Unlimited Number Of...

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processes and analyzes, petabytestransforms and organizes, zettabytesstores and serves, terabytesingests and transfers, gigabytes

What Is Cloud Bigtable NOT Good For?

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It’s not good for highly structured databases or transactional databases.It’s not good for very large amounts of data.It’s not good for flat data and...

How Does BigQuery Data Transfer Service Work?

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Automates loading data into BigQuery from YouTube, AdWords, and DoubleClick.Allows organizations to easily use MapReduce, Pig, Hive, and Spark to process data before storing...

How Does Cloud Storage Help Organizations Get Content To Their Users Faster?

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Standard connectors and standard tools that allow for seamless integrations with existing SQL workflows.Regional buckets that enable faster access from storage to compute servers...

How Does Cloud Storage Deliver Simplicity?

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By providing intelligence from data.Includes tape libraries and backup capabilities.Most reliable service, according to Gartner.Single API and millisecond data access latency across storage classes.

What Is An Example Of A Time-Consuming Task Required To Set Up And Run...

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Applying patches and updates.Migrating data between data centers.Developing apps.Managing contractors.

What Aspect Of Cloud Datastore Allows Organizations To Worry Less About Making Changes To...

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The object-oriented database with containerized applications.The schemaless document-oriented database with ACID transactions.The relational database with configuration and downtime.The warehouse database with a proven production...

With Cloud Bigtable, Organizations Can Accelerate Time To Market For Their Data-Intensive Applications, Enable...

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availability of SDKs and consolescost configurabilityfuture proofingelastic scaling with zero downtime

Connecting To Cloud SQL Databases Looks The Same As Connecting To A MySQL Or...

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Non-traditional transforms and standard tools like Hadoop.Standard connectors and standard tools like MySQL workbench.Standard containers and standard tools like BigQuery.Non-traditional connectors and standard tools...

Cloud Firestore Is:

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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...

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