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Google Google-PDE : Professional Data Engineer on Google Cloud Platform Exam

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Test Number : Google-PDE
Test Name : Professional Data Engineer on Google Cloud Platform
Vendor Name : Google
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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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Google Reportedly Now dealing with Antitrust Probes in each State but One | Google-PDE Test Prep and test dumps

Alphabet CEO Sundar Pichai gestures throughout a session with World financial discussion board (WEF) in Davos, on January 22, 2020. photo: Fabrice Coffrini (Getty photos)

Amid ongoing investigations by the federal government and well-nigh each other state, California has reportedly launched its own antitrust probe into the world’s greatest promoting agency, Google, because it continues to face scrutiny by U.S. and foreign regulators over its dominance in the online promoting industry, and the competencies abuse thereof.

Politico, citing three individuals with skills of the brand new inquiry, suggested late Thursday that the California lawyer time-honored, Xavier Becerra, had opened the antitrust probe. It changed into unclear, the website said, which aspect of Google’s business is being centered. Becerra’s probe turned into also talked about to be separate from the antitrust investigation launched in September by using 48 states, the District of Columbia and Puerto Rico.

The California probe would leave Alabama because the handiest state that isn't prevalent to be investigating Google’s practices.

Becerra’s workplace declined to comment on the Politico story. “To deliver protection to the integrity of their work, it’s their follow no longer to touch upon any pending or expertise investigation, even to verify or deny their existence,” Sarah Lovenheim, a spokesperson for the lawyer universal, advised Gizmodo.

past issues about Google’s overall dominance in the advertising know-how market, regulators have spoke of the enterprise’s enterprise practices may have stifled innovation, violated users’ privateness, and given Google an oversized function within the spread of counsel on-line.

G/O Media can also get a commission

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Google declined to remark. CEO Sundar Pichai referred to in January on the World financial forum in Davos that with Google’s scale “rightfully comes scrutiny.” “you are right we've bought startups,” he referred to in keeping with a related question, “but as a company, they invest each year in a whole lot of startups via their task hands. These support entrepreneurs and incubators all over.”

“previous investigations of Google uncovered violations starting from promoting illegal drugs in the u.s. to now three antitrust moves introduced by means of the ecu fee,” a press release through Texas legal professional everyday Ken Paxton’s office study final yr. “None of these old investigations, besides the fact that children, totally tackle the source of Google’s sustained market vigour and the means to interact in serial and repeated business practices so that they can protect and retain that vigor.”

Google first publicly recounted an antitrust probe by using the U.S. Justice branch and “greater than half” of the state attorneys popular in September 2019. In a blog publish titled, “Google’s functions create alternative for consumers, and spur innovation within the U.S.” Ken Walker, senior vp of global affairs, wrote that DOJ had “introduced that it’s starting a evaluate of online structures,” and that Google anticipated to answer questions on its practices.

the european Union hit Google with a listing $5 billion first-class in 2018 for violating antitrust laws. “Google has used Android as a automobile to cement the dominance of its search engine,” ecu Commissioner for competition Margrethe Vestager said on the time. “These practices have denied rivals the chance to innovate and compete on the deserves.”

In February, the Federal alternate commission issued a different order disturbing Google, amongst 4 different principal tech companies, hand over details about its mergers and acquisitions all through the past decade. Google got at least 181 outdoor corporations during this time, in accordance with records attainable on Crunchbase, as Gizmodo’s Bryan Menegus previously suggested.

The FTC validated at the time that the undertaking become begun to investigate even if “federal antitrust businesses have become enough observe about probably anticompetitive transactions.” youngsters, the findings, Chairman Joe Simon observed, could very smartly outcomes in enforcement action.

[Politico]


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