almost 2 years ago

What's more, part of that TorrentExam Professional-Data-Engineer dumps now are free: https://drive.google.com/open?id=1KSSMcdjMMQ8Brf2RZWu3h06mBX5YXsqU We emphasize on customers satisfaction, which benefits both exam candidates and our company equally. By developing and nurturing superior customers value, our company has been getting and growing more and more customers. To satisfy the goals of exam candidates, we created the high quality and high accuracy Professional-Data-Engineer real materials for you. By experts who diligently work to improve our practice materials over ten years, all content are precise and useful and we make necessary alternations at intervals.

Google Professional-Data-Engineer Exam Syllabus Topics:

Topic	Details
Topic 1	Modeling Business Processes for Analysis and Optimization
Topic 2	Building and Maintaining Data Structures and Databases
Topic 3	Visualizing Data and Advocating Policy Automation Decision Support Data Summarization

The Google Professional Data Engineer certification is designed to equip the individuals with the required knowledge and skills to enable data-driven decision-making through collecting, transforming, and publishing data. To earn this certificate, the candidates will be required to pass a single test measuring their skills in leveraging, deploying, and continuously training pre-existing machine learning models. The qualifying exam also evaluates the ability of the applicants to design, build, operationalize, monitor, and secure data processing systems.

Understanding functional and technical aspects of Google Professional Data Engineer Exam Ensuring solution quality

The following will be discussed here:

• Building and running test suites
• Mapping to current and future business requirements
• Ensuring reliability and fidelity
• Ensuring privacy (e.g., Data Loss Prevention API)
• Data staging, cataloging, and discovery
• Identity and access management (e.g.,Cloud IAM)
• Choosing between ACID, idempotent, eventually consistent requirements
• Assessing, troubleshooting, and improving data representations and data processing infrastructure
• Legal compliance (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children's Online Privacy Protection Act (COPPA), FedRAMP, General Data Protection Regulation (GDPR))
• Verification and monitoring
• Designing for data and application portability (e.g., multi-cloud, data residency requirements)
• Resizing and autoscaling resources
• Performing data preparation and quality control (e.g., Cloud Dataprep)
• Designing for security and compliance
• Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)

>> Professional-Data-Engineer Latest Exam Price <<

100% Pass-Rate Professional-Data-Engineer Latest Exam Price & Passing Professional-Data-Engineer Exam is No More a Challenging Task

We can confidently say that our Professional-Data-Engineer training quiz will help you. First of all, our company is constantly improving our Professional-Data-Engineer exam materials according to the needs of users. As you can see that there are three versions of our Professional-Data-Engineer learning questions on our website for you to choose: the PDF, Software and APP online. As long as you have a try on our Professional-Data-Engineer study prep, you will want our Professional-Data-Engineer study materials to prapare for the exam for sure.

Google Certified Professional Data Engineer Exam Sample Questions (Q89-Q94):

NEW QUESTION # 89
Your neural network model is taking days to train. You want to increase the training speed. What can you do?

• A. Increase the number of input features to your model.
• B. Subsample your test dataset.
• C. Subsample your training dataset.
• D. Increase the number of layers in your neural network.

Answer: D Explanation:
Reference: https://towardsdatascience.com/how-to-increase-the-accuracy-of-a-neural-network-9f5d1c6f407d
NEW QUESTION # 90
Flowlogistic Case Study
Company Overview
Flowlogistic is a leading logistics and supply chain provider. They help businesses throughout the world manage their resources and transport them to their final destination. The company has grown rapidly, expanding their offerings to include rail, truck, aircraft, and oceanic shipping.
Company Background
The company started as a regional trucking company, and then expanded into other logistics market.
Because they have not updated their infrastructure, managing and tracking orders and shipments has become a bottleneck. To improve operations, Flowlogistic developed proprietary technology for tracking shipments in real time at the parcel level. However, they are unable to deploy it because their technology stack, based on Apache Kafka, cannot support the processing volume. In addition, Flowlogistic wants to further analyze their orders and shipments to determine how best to deploy their resources.
Solution Concept
Flowlogistic wants to implement two concepts using the cloud:
Use their proprietary technology in a real-time inventory-tracking system that indicates the location of

their loads
Perform analytics on all their orders and shipment logs, which contain both structured and unstructured

data, to determine how best to deploy resources, which markets to expand info. They also want to use predictive analytics to learn earlier when a shipment will be delayed.
Existing Technical Environment
Flowlogistic architecture resides in a single data center:
Databases

8 physical servers in 2 clusters
- SQL Server - user data, inventory, static data
3 physical servers
- Cassandra - metadata, tracking messages
10 Kafka servers - tracking message aggregation and batch insert
Application servers - customer front end, middleware for order/customs

60 virtual machines across 20 physical servers
- Tomcat - Java services
- Nginx - static content
- Batch servers
Storage appliances

- iSCSI for virtual machine (VM) hosts
- Fibre Channel storage area network (FC SAN) - SQL server storage
- Network-attached storage (NAS) image storage, logs, backups
Apache Hadoop /Spark servers

- Core Data Lake
- Data analysis workloads
20 miscellaneous servers

- Jenkins, monitoring, bastion hosts,
Business Requirements
Build a reliable and reproducible environment with scaled panty of production.

Aggregate data in a centralized Data Lake for analysis

Use historical data to perform predictive analytics on future shipments

Accurately track every shipment worldwide using proprietary technology

Improve business agility and speed of innovation through rapid provisioning of new resources

Analyze and optimize architecture for performance in the cloud

Migrate fully to the cloud if all other requirements are met

Technical Requirements
Handle both streaming and batch data

Migrate existing Hadoop workloads

Ensure architecture is scalable and elastic to meet the changing demands of the company.

Use managed services whenever possible

Encrypt data flight and at rest

Connect a VPN between the production data center and cloud environment

SEO Statement
We have grown so quickly that our inability to upgrade our infrastructure is really hampering further growth and efficiency. We are efficient at moving shipments around the world, but we are inefficient at moving data around.
We need to organize our information so we can more easily understand where our customers are and what they are shipping.
CTO Statement
IT has never been a priority for us, so as our data has grown, we have not invested enough in our technology. I have a good staff to manage IT, but they are so busy managing our infrastructure that I cannot get them to do the things that really matter, such as organizing our data, building the analytics, and figuring out how to implement the CFO' s tracking technology.
CFO Statement
Part of our competitive advantage is that we penalize ourselves for late shipments and deliveries. Knowing where out shipments are at all times has a direct correlation to our bottom line and profitability.
Additionally, I don't want to commit capital to building out a server environment.
Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

• A. Export the data into a Google Sheet for virtualization.
• B. Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
• C. Create a view on the table to present to the virtualization tool.
• D. Create an additional table with only the necessary columns.

Answer: C
NEW QUESTION # 91
You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this data. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? (Choose two.)

• A. Use BigQuery UPDATE to further reduce the size of the dataset.
• B. Denormalize the data as must as possible.
• C. Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro file. Use BigQuery's support for external data sources to query.
• D. Develop a data pipeline where status updates are appended to BigQuery instead of updated.
• E. Preserve the structure of the data as much as possible.

Answer: C,D
NEW QUESTION # 92
You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

• A. Create an API using App Engine to receive and send messages to the applications
• B. Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute them
• C. Create a table on Cloud SQL, and insert and delete rows with the job information
• D. Create a table on Cloud Spanner, and insert and delete rows with the job information

Answer: B Explanation:
Pubsub is used to transmit data in real time and scale automatically.
NEW QUESTION # 93
Your company is streaming real-time sensor data from their factory floor into Bigtable and they have noticed extremely poor performance. How should the row key be redesigned to improve Bigtable performance on queries that populate real-time dashboards?

• A. Use a row key of the form >#<sensorid>#<timestamp>.
• B. Use a row key of the form <sensorid>.
• C. Use a row key of the form <timestamp>.
• D. Use a row key of the form <timestamp>#<sensorid>.

Answer: A Explanation:
Best practices of bigtable states that rowkey should not be only timestamp or have timestamp at starting.
It's better to have sensorid and timestamp as rowkey.
NEW QUESTION # 94
...... There are more opportunities for possessing with a certification, and our Professional-Data-Engineer study materials are the greatest resource to get a leg up on your competition, and stage yourself for promotion. When it comes to our time-tested Professional-Data-Engineer study materials, for one thing, we have a professional team contains a lot of experts who have devoted themselves to the research and development of our Professional-Data-Engineer Study Materials, thus we feel confident enough under the intensely competitive market. For another thing, conforming to the real exam our Professional-Data-Engineer study materials have the ability to catch the core knowledge. Professional-Data-Engineer Latest Cram Materials: https://www.torrentexam.com/Professional-Data-Engineer-exam-latest-torrent.html What's more, part of that TorrentExam Professional-Data-Engineer dumps now are free: https://drive.google.com/open?id=1KSSMcdjMMQ8Brf2RZWu3h06mBX5YXsqU