Open the auxiliary access

Firefly Open Source Community

   Login   |   Register   |
New_Topic
Firefly Open Source Community › Core Board › iCore-3588Q› Free Professional-Data-Engineer Test Questions & P ...
New Topic
Print Previous Topic Next Topic

[Hardware] Free Professional-Data-Engineer Test Questions & Professional-Data-Engineer

billmor760

130

Credits

0

Prestige

0

Contribution

registered members

Rank: 2

Credits
130

【Hardware】 Free Professional-Data-Engineer Test Questions & Professional-Data-Engineer

Posted at 3 hour before      View：22 | Replies：0        Print      Only Author   [Copy Link] 1#
BONUS!!! Download part of PassTestking Professional-Data-Engineer dumps for free: https://drive.google.com/open?id=1j6QGIkaf2Wdnb66TV8lbG59ufMoUbTTH
As we know, our products can be recognized as the most helpful and the greatest Professional-Data-Engineer study engine across the globe. Even though you are happy to hear this good news, you may think our price is higher than others. We can guarantee that we will keep the most appropriate price because we want to expand our reputation of Professional-Data-Engineer Preparation dumps in this line and create a global brand. What’s more, we will often offer abundant discounts of Professional-Data-Engineer study guide to express our gratitude to our customers.
Google Professional-Data-Engineer exam is designed to test the skills and knowledge of professionals who work with Google Cloud Platform. It is designed for those who have experience in designing, building, and managing data processing systems, and for those who work with machine learning models and data analysis tools. Professional-Data-Engineer Exam is designed to test the ability of professionals to use Google Cloud Platform tools to develop and implement solutions that meet the needs of businesses.
Google Professional-Data-Engineer Free Brain Dumps | Latest Professional-Data-Engineer Test PdfOur loyal customers give us strong support in the past ten years. Luckily, our Professional-Data-Engineer learning materials never let them down. Our company is developing so fast and healthy. Up to now, we have made many achievements. Also, the Professional-Data-Engineer study guide is always popular in the market. All in all, we will keep up with the development of the society. And we always keep updating our Professional-Data-Engineer Practice Braindumps to the latest for our customers to download. Just buy our Professional-Data-Engineer exam questions and you will find they are really good!
Google Professional-Data-Engineer certification is highly respected in the industry, and it can open up new career opportunities for individuals who hold it. Google Cloud Platform is one of the leading cloud computing platforms, and companies across different industries are increasingly adopting it. Professionals who are certified in Google Cloud Platform technologies are in high demand, and they can earn competitive salaries. Therefore, passing the Professional-Data-Engineer Exam is a worthwhile investment for individuals who want to advance their careers in the field of data engineering.
Google Certified Professional Data Engineer Exam Sample Questions (Q327-Q332):NEW QUESTION # 327
You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt dat
a. What should you do?
  • A. Add a ParDo transform in Cloud Dataflow to discard corrupt elements.
  • B. Add a SideInput that returns a Boolean if the element is corrupt.
  • C. Add a GroupByKey transform in Cloud Dataflow to group all of the valid data together and discard the rest.
  • D. Add a Partition transform in Cloud Dataflow to separate valid data from corrupt data.
Answer: A

NEW QUESTION # 328
Your company is in a highly regulated industry. One of your requirements is to ensure individual users have access only to the minimum amount of information required to do their jobs. You want to enforce this requirement with Google BigQuery. Which three approaches can you take? (Choose three.)
  • A. Restrict BigQuery API access to approved users.
  • B. Use Google Stackdriver Audit Logging to determine policy violations.
  • C. Disable writes to certain tables.
  • D. Segregate data across multiple tables or databases.
  • E. Restrict access to tables by role.
  • F. Ensure that the data is encrypted at all times.
Answer: A,B,E

NEW QUESTION # 329
You are collecting loT sensor data from millions of devices across the world and storing the data in BigQuery.
Your access pattern is based on recent data tittered by location_id and device_version with the following query:

You want to optimize your queries for cost and performance. How should you structure your data?
  • A. Cluster table data by create_date, partition by location and device_version
  • B. Partition table data by create_date cluster table data by tocation_id and device_version
  • C. Cluster table data by create_date location_id and device_version
  • D. Partition table data by create_date, location_id and device_version
Answer: C

NEW QUESTION # 330
Case Study 2 - MJTelco
Company Overview
MJTelco is a startup that plans to build networks in rapidly growing, underserved markets around the world.
The company has patents for innovative optical communications hardware. Based on these patents, they can create many reliable, high-speed backbone links with inexpensive hardware.
Company Background
Founded by experienced telecom executives, MJTelco uses technologies originally developed to overcome communications challenges in space. Fundamental to their operation, they need to create a distributed data infrastructure that drives real-time analysis and incorporates machine learning to continuously optimize their topologies. Because their hardware is inexpensive, they plan to overdeploy the network allowing them to account for the impact of dynamic regional politics on location availability and cost.
Their management and operations teams are situated all around the globe creating many-to-many relationship between data consumers and provides in their system. After careful consideration, they decided public cloud is the perfect environment to support their needs.
Solution Concept
MJTelco is running a successful proof-of-concept (PoC) project in its labs. They have two primary needs:
* Scale and harden their PoC to support significantly more data flows generated when they ramp to more than 50,000 installations.
* Refine their machine-learning cycles to verify and improve the dynamic models they use to control topology definition.
MJTelco will also use three separate operating environments - development/test, staging, and production - to meet the needs of running experiments, deploying new features, and serving production customers.
Business Requirements
* Scale up their production environment with minimal cost, instantiating resources when and where needed in an unpredictable, distributed telecom user community.
* Ensure security of their proprietary data to protect their leading-edge machine learning and analysis.
* Provide reliable and timely access to data for analysis from distributed research workers
* Maintain isolated environments that support rapid iteration of their machine-learning models without affecting their customers.
Technical Requirements
* Ensure secure and efficient transport and storage of telemetry data
* Rapidly scale instances to support between 10,000 and 100,000 data providers with multiple flows each.
* Allow analysis and presentation against data tables tracking up to 2 years of data storing approximately
100m records/day
* Support rapid iteration of monitoring infrastructure focused on awareness of data pipeline problems both in telemetry flows and in production learning cycles.
CEO Statement
Our business model relies on our patents, analytics and dynamic machine learning. Our inexpensive hardware is organized to be highly reliable, which gives us cost advantages. We need to quickly stabilize our large distributed data pipelines to meet our reliability and capacity commitments.
CTO Statement
Our public cloud services must operate as advertised. We need resources that scale and keep our data secure. We also need environments in which our data scientists can carefully study and quickly adapt our models. Because we rely on automation to process our data, we also need our development and test environments to work as we iterate.
CFO Statement
The project is too large for us to maintain the hardware and software required for the data and analysis.
Also, we cannot afford to staff an operations team to monitor so many data feeds, so we will rely on automation and infrastructure. Google Cloud's machine learning will allow our quantitative researchers to work on our high-value problems instead of problems with our data pipelines.
Given the record streams MJTelco is interested in ingesting per day, they are concerned about the cost of Google BigQuery increasing. MJTelco asks you to provide a design solution. They require a single large data table called tracking_table. Additionally, they want to minimize the cost of daily queries while performing fine-grained analysis of each day's events. They also want to use streaming ingestion. What should you do?
  • A. Create sharded tables for each day following the pattern tracking_table_YYYYMMDD.
  • B. Create a table called tracking_table and include a DATE column.
  • C. Create a table called tracking_table with a TIMESTAMP column to represent the day.
  • D. Create a partitioned table called tracking_table and include a TIMESTAMP column.
Answer: D

NEW QUESTION # 331
Your software uses a simple JSON format for all messages. These messages are published to Google Cloud Pub/Sub, then processed with Google Cloud Dataflow to create a real-time dashboard for the CFO. During testing, you notice that some messages are missing in the dashboard. You check the logs, and all messages are being published to Cloud Pub/Sub successfully. What should you do next?
  • A. Switch Cloud Dataflow to pull messages from Cloud Pub/Sub instead of Cloud Pub/Sub pushing messages to Cloud Dataflow.
  • B. Use Google Stackdriver Monitoring on Cloud Pub/Sub to find the missing messages.
  • C. Run a fixed dataset through the Cloud Dataflow pipeline and analyze the output.
  • D. Check the dashboard application to see if it is not displaying correctly.
Answer: C
Explanation:
Explanation:

NEW QUESTION # 332
......
Professional-Data-Engineer Free Brain Dumps: https://www.passtestking.com/Google/Professional-Data-Engineer-practice-exam-dumps.html
P.S. Free 2026 Google Professional-Data-Engineer dumps are available on Google Drive shared by PassTestking: https://drive.google.com/open?id=1j6QGIkaf2Wdnb66TV8lbG59ufMoUbTTH
https://www.passtorrent.com
Reply

Use props Report

Return to List
High mode
B Color Image Link Quote Code Smilies
You need to log in before you can reply Login | Register

This forum Credits Rules

  •  

Service Hotline : (+86)18688117175
Contact us
E-mail : global@t-firefly.com
Copyright © 2014-2022, FIREFLY TECHNOLOGY CO.,LTD. All Rightts Reserved. 粤ICP备14022046号-2
Quick Reply Back to top Back to list