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Test Number : Google-PDE
Test Name : Professional Data Engineer on Google Cloud Platform
Vendor Name : Google
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Google-PDE test Format | Google-PDE Course Contents | Google-PDE Course Outline | Google-PDE test Syllabus | Google-PDE test Objectives

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

The Professional Data Engineer test assesses your ability to:
- Design data processing systems
- Build and operationalize data processing systems
- Operationalize machine learning models
- Ensure solution quality

1. Designing data processing systems
1.1 Selecting the appropriate storage technologies. Considerations include:
- Mapping storage systems to business requirements
- Data modeling
- Tradeoffs involving latency, throughput, transactions
- Distributed systems
- Schema design

1.2 Designing data pipelines. Considerations include:
- Data publishing and visualization (e.g., BigQuery)
- Batch and streaming data (e.g., Cloud Dataflow, Cloud Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Cloud Pub/Sub, Apache Kafka)
- Online (interactive) vs. batch predictions
- Job automation and orchestration (e.g., Cloud Composer)

1.3 Designing a data processing solution. Considerations include:
- Choice of infrastructure
- System availability and fault tolerance
- Use of distributed systems
- Capacity planning
- Hybrid cloud and edge computing
- Architecture options (e.g., message brokers, message queues, middleware, service-oriented architecture, serverless functions)
- At least once, in-order, and exactly once, etc., event processing

1.4 Migrating data warehousing and data processing. Considerations include:
- Awareness of current state and how to migrate a design to a future state
- Migrating from on-premises to cloud (Data Transfer Service, Transfer Appliance, Cloud Networking)
- Validating a migration

2. Building and operationalizing data processing systems
2.1 Building and operationalizing storage systems. Considerations include:
- Effective use of managed services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery, Cloud Storage, Cloud Datastore, Cloud Memorystore)
- Storage costs and performance
- Lifecycle management of data

2.2 Building and operationalizing pipelines. Considerations include:
- Data cleansing
- Batch and streaming
- Transformation
- Data acquisition and import
- Integrating with new data sources

2.3 Building and operationalizing processing infrastructure. Considerations include:
- Provisioning resources
- Monitoring pipelines
- Adjusting pipelines
- Testing and quality control

3. Operationalizing machine learning models
3.1 Leveraging pre-built ML models as a service. Considerations include:
- ML APIs (e.g., Vision API, Speech API)
- Customizing ML APIs (e.g., AutoML Vision, Auto ML text)
- Conversational experiences (e.g., Dialogflow)

3.2 Deploying an ML pipeline. Considerations include:
- Ingesting appropriate data
- Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML)
- Continuous evaluation

3.3 Choosing the appropriate training and serving infrastructure. Considerations include:
- Distributed vs. single machine
- Use of edge compute
- Hardware accelerators (e.g., GPU, TPU)

3.4 Measuring, monitoring, and troubleshooting machine learning models. Considerations include:
- Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)
- Impact of dependencies of machine learning models
- Common sources of error (e.g., assumptions about data)

4. Ensuring solution quality
4.1 Designing for security and compliance. Considerations include:
- Identity and access management (e.g., Cloud IAM)
- Data security (encryption, key management)
- Ensuring privacy (e.g., Data Loss Prevention API)
- Legal compliance (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children's Online Privacy Protection Act (COPPA), FedRAMP, General Data Protection Regulation (GDPR))

4.2 Ensuring scalability and efficiency. Considerations include:
- Building and running test suites
- Pipeline monitoring (e.g., Stackdriver)
- Assessing, troubleshooting, and improving data representations and data processing infrastructure
- Resizing and autoscaling resources

4.3 Ensuring reliability and fidelity. Considerations include:
- Performing data preparation and quality control (e.g., Cloud Dataprep)
- Verification and monitoring
- Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
- Choosing between ACID, idempotent, eventually consistent requirements

4.4 Ensuring flexibility and portability. Considerations include:
- Mapping to current and future business requirements
- Designing for data and application portability (e.g., multi-cloud, data residency requirements)
- Data staging, cataloging, and discovery

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To Free medical doctors From computer systems, a long way-Flung Scribes are now Taking Notes For Them | Google-PDE Practice Questions and Test Prep

About perception

insight gives an in-depth analyze health care considerations in and affecting California.

Have a story suggestion? let us know.

Podiatrist Dr. Mark Lewis greets his first patient of the morning in his suburban Seattle test room and facets to a tiny video camera set up on the appropriate rim of his glasses. “here is my scribe, Jacqueline,” he says. “she will see us and hear us.”

Jacqueline is observing the appointment on her video display after the solar has set, 8,000 miles away in Mysore, a southern Indian metropolis ordinary for its palaces and jasmine vegetation. She copiously files the details of every seek advice from and enters them into the affected person’s electronic fitness record, or EHR.

Jacqueline (her real first identify, in keeping with her organisation), works for San Francisco-primarily based Augmedix, a startup with 1,000 scientific scribes in South Asia and the U.S. The company is part of a starting to be industry that earnings from a confluence of fitness care traits — together with, now, the pandemic — that are dispersing affected person care all over.

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medical scribes first appeared within the Seventies as observe takers for emergency room physicians. however the follow took off after 2009, when the federal HITECH Act incentivized fitness care providers to adopt EHRs. These were alleged to simplify affected person list-conserving, however in its place they generated a need for scribes. doctors discover coming into notes and facts into poorly designed EHR application cumbersome and time-consuming. So scribing is a fast-starting to be container in the U.S., with the body of workers increasing from 15,000 in 2015 to an estimated one hundred,000 this yr.

A 2016 study found that doctors spent 37% of a affected person visit on a pc and an average of two additional hours after work on EHR tasks. EHR use contributes to medical professional burnout, increasingly regarded a public fitness disaster in itself.

before COVID-19, most scribes — usually younger, aspiring health professionals — labored within the examination room just a few paces faraway from the doctor and affected person. This year, because the pandemic led sufferers to shun clinics and hospitals, many scribes were laid off or furloughed. Many have again, however scribes are increasingly working online — even from the different facet of the realm.

far flung scribes are patched into the test room’s sound by means of a pill or speaker, or via a video connection. Some create medical doctors’ notes in true time; others annotate after visits. and a few have assist from speech-recognition application programs that grow more correct with use.

whereas many faraway scribes are based in the united states, others are overseas, basically in India. Chanchal Toor was a dental faculty graduate dealing with restricted job opportunities in India when a subcontractor to Augmedix employed her in 2015. a few of her scribe colleagues additionally proficient or aspired to develop into dentists or other fitness experts, she stated. Now a supervisor for Augmedix in San Francisco, Toor observed scribing, even remotely, made her think like part of a fitness care team.

Augmedix recruits individuals who have a bachelor’s diploma or the equivalent, and monitors for talent in English reading, listening comprehension and writing, the business stated. as soon as on board, scribes endure about three months of training. The curriculum includes clinical terminology, anatomy, physiology and mock visits.

income has grown this 12 months, and his earnings crew has grown from 4 to 14 contributors, Augmedix CEO Manny Krakaris noted. Sachin Gupta, CEO of IKS health, which employs Indian doctors as far flung scribes for their U.S. counterparts, tasks 50% revenue growth this yr for its scribing business. He noted the enterprise employs four,000 people however declined to share what number of are scribes.

far off scribe “Edwin” gives internist Dr. Susan Fesmire greater time, releasing her from having to finish 20 charts at the conclusion of every day. “It become like continually having homework that you just don’t finish,” she spoke of. With the assist of “Edwin” — Fesmire mentioned he declines to make use of his precise identify — she had the time and energy to develop into chief operating officer of her small Dallas apply. Edwin works for Physicians Angels, which employs 500 remote scribes in India. Fesmire pays $14 an hour for his features.

docs with international scribes say notes could need minor modifying for dialectal changes and scribes may well be unfamiliar with local vocabulary. “I had a affected person from Louisiana,” stated Fesmire, “and Edwin stated afterward, ‘what's chicory, medical professional?’” however she also praised his notes as extra correct and finished than her own.

Kevin Brady, president of Physicians Angels, pointed out their scribes birth at $500 to $600 per 30 days, plus fitness care and retirement benefits, whereas senior scribes make $1,000 to $1,500 — core-class family incomes in India. Employers are required to give personnel with medical insurance, although many scribes are contractors, and the job site says the common profits for a scribe in India is $500 a month. Scribes within the U.S. get about $2,500.

faraway scribing is still a small a part of the market. Craig Newman, chief method officer of HealthChannels, guardian to ScribeAmerica, the largest scribing business within the U.S., observed that the firm’s remote scribing enterprise has accelerated threefold considering that the pandemic’s outset however that “a huge majority” of the company’s 26,000 U.S. scribes nevertheless work in adult.

It’s a particularly unregulated trade for which working towards and certification aren’t required. The carrier usually charges physicians $12 to $25 an hour, and experiences show scribe use is linked to much less time on patient documentation, higher job satisfaction and seeing greater patients — that may mean extra revenue.

For sufferers, experiences imply scribes have a favorable or neutral impact on delight. Some have privacy considerations, even though, and state legal guidelines fluctuate on whether a patient should be notified that somebody is staring at and listening many miles away.

handiest 1% of sufferers refuse a far off scribe when requested by means of physicians at Massachusetts customary Physicians company, said Dr. David Ting, the follow’s chief medical information officer. His neighborhood, an IKS health client, at all times seeks patient consent, Ting stated.

Scribes aren’t for each person, though. Janis Ulevich, a retiree in Palo Alto, California, declines her fundamental care doctor’s far off scribe. “Conversations together with your medical professional can be intimate,” pointed out Ulevich. “I don’t like other people listening in.”

Some patients may additionally now not have the opportunity to decline. With limited exceptions, federal legal guidelines like HIPAA, the medical health insurance Portability and Accountability Act of 1996, don’t require medical doctors to are seeking a affected person’s consent earlier than sharing their fitness counsel with an organization that supports the observe’s work (like a scribe enterprise), as long as that enterprise signed a contract agreeing to protect the patient’s statistics, noted Chris Apgar, a former HIPAA compliance officer.

About one-quarter of U.S. states require all events in a conversation to conform to be recorded, that means they require a patient’s permission. Some states even have particular privacy protections for certain companies, like people with HIV/AIDS, or very strict recommended-consent or privacy legal guidelines, talked about Matt Fisher, a partner at Massachusetts law firm Mirick O’Connell.

far flung scribing additionally raises cybersecurity concerns. pronounced records breaches are rare, however some scribe businesses have lax protection, noted Cliff Baker, CEO of the health care cybersecurity enterprise Corl technologies.

The subsequent step within the style may well be no human scribes at all. Tech giants like Google, EHR businesses and assignment-backed startups are setting up or already advertising and marketing synthetic intelligence equipment aimed at cutting back or doing away with the need for humans to doc visits.

AI and scribes won’t eliminate general practitioner burnout that stems from the nature of the fitness care gadget, observed Dr. Rebekah Gardner, an associate professor of drugs at Brown tuition who researches the issue. Neither can tackle burnout-riding EHR initiatives like submitting requests for assurance company approval of procedures, drugs and assessments, she mentioned.

Sarah Kwon: @skwonjournalist

connected issues health business Public health COVID-19 Hospitals affected person safety privacy

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