RELIABLE PROFESSIONAL-DATA-ENGINEER EXAM VOUCHER | PROFESSIONAL-DATA-ENGINEER ORIGINAL QUESTIONS

Reliable Professional-Data-Engineer Exam Voucher | Professional-Data-Engineer Original Questions

Reliable Professional-Data-Engineer Exam Voucher | Professional-Data-Engineer Original Questions

Blog Article

Tags: Reliable Professional-Data-Engineer Exam Voucher, Professional-Data-Engineer Original Questions, Examcollection Professional-Data-Engineer Vce, Professional-Data-Engineer Training Kit, Professional-Data-Engineer Latest Dumps Files

DOWNLOAD the newest ExamTorrent Professional-Data-Engineer PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1WxFLG9sKu-K0NGSFPnnt7VSMeRIhldgw

ExamTorrent helped many people taking IT certification exam who thought well of our exam dumps. 100% guarantee to pass IT certification test. It is the fact which is proved by many more candidates. If you are tired of preparing Google Professional-Data-Engineer Exam, you can choose ExamTorrent Google Professional-Data-Engineer certification training materials. Because of its high efficiency, you can achieve remarkable results.

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.

To be eligible for the Google Professional-Data-Engineer Exam, candidates must have experience in data engineering, data analytics, and data warehousing. They must also have experience in designing and implementing solutions using Google Cloud Platform's data processing technologies, such as Cloud Dataflow, BigQuery, and Cloud Dataproc. Furthermore, candidates must have excellent knowledge of SQL, Python, and Java programming languages, as well as experience in data modeling and data visualization.

>> Reliable Professional-Data-Engineer Exam Voucher <<

Excellent Offers By ExamTorrent – Free Google Professional-Data-Engineer Dumps Updates and Free Demo

It is hard to pass without in-depth Professional-Data-Engineer exam preparation. The ExamTorrent understands this challenge and offers real, valid, and top-notch Professional-Data-Engineer exam dumps in three different formats. These formats are Professional-Data-Engineer PDF dumps files, desktop practice test software, and web-based practice test software. All these three Professional-Data-Engineer Exam Questions formats are easy to use and compatible with all devices, operating systems, and web browsers. Just choose the best Professional-Data-Engineer exam questions format and start Professional-Data-Engineer exam preparation without wasting further time.

Google Professional-Data-Engineer Certification Exam is designed for professionals seeking to demonstrate their expertise in designing, building, and managing data processing systems on the Google Cloud Platform. Professional-Data-Engineer exam is intended for data engineers, data architects, and data analysts who work with big data solutions. Google Certified Professional Data Engineer Exam certification validates the skills and knowledge required to design and build data processing systems, as well as manage and monitor them in a production environment.

Google Certified Professional Data Engineer Exam Sample Questions (Q94-Q99):

NEW QUESTION # 94
You are designing a basket abandonment system for an ecommerce company. The system will send a message to a user based on these rules:
* No interaction by the user on the site for 1 hour
* Has added more than $30 worth of products to the basket
* Has not completed a transaction
You use Google Cloud Dataflow to process the data and decide if a message should be sent. How should you design the pipeline?

  • A. Use a fixed-time window with a duration of 60 minutes.
  • B. Use a global window with a time based trigger with a delay of 60 minutes.
  • C. Use a session window with a gap time duration of 60 minutes.
  • D. Use a sliding time window with a duration of 60 minutes.

Answer: B


NEW QUESTION # 95
Which of the following are feature engineering techniques? (Select 2 answers)

  • A. Hidden feature layers
  • B. Feature prioritization
  • C. Crossed feature columns
  • D. Bucketization of a continuous feature

Answer: C,D

Explanation:
Selecting and crafting the right set of feature columns is key to learning an effective model. Bucketization is a process of dividing the entire range of a continuous feature into a set of consecutive bins/buckets, and then converting the original numerical feature into a bucket ID (as a categorical feature) depending on which bucket that value falls into. Using each base feature column separately may not be enough to explain the data. To learn the differences between different feature combinations, we can add crossed feature columns to the model.
Reference:
https://www.tensorflow.org/tutorials/wide#selecting_and_engineering_features_for_the_model


NEW QUESTION # 96
What are two of the characteristics of using online prediction rather than batch prediction?

  • A. It is optimized to minimize the latency of serving predictions.
  • B. Predictions are written to output files in a Cloud Storage location that you specify.
  • C. It is optimized to handle a high volume of data instances in a job and to run more complex models.
  • D. Predictions are returned in the response message.

Answer: A,D

Explanation:
Online prediction
Optimized to minimize the latency of serving predictions.
Predictions returned in the response message.
Batch prediction
Optimized to handle a high volume of instances in a job and to run more complex models.
Predictions written to output files in a Cloud Storage location that you specify.
Reference: https://cloud.google.com/ml-engine/docs/prediction-
overview#online_prediction_versus_batch_prediction


NEW QUESTION # 97
You need to store and analyze social media postings in Google BigQuery at a rate of 10,000 messages per minute in near real-time. Initially, design the application to use streaming inserts for individual postings.
Your application also performs data aggregations right after the streaming inserts. You discover that the queries after streaming inserts do not exhibit strong consistency, and reports from the queries might miss in-flight dat

  • A. Convert the streaming insert code to batch load for individual messages.
  • B. Re-write the application to load accumulated data every 2 minutes.
  • C. How can you adjust your application design?
  • D. Load the original message to Google Cloud SQL, and export the table every hour to BigQuery via streaming inserts.
  • E. Estimate the average latency for data availability after streaming inserts, and always run queries after waiting twice as long.

Answer: C


NEW QUESTION # 98
Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)?

  • A. A Dataproc cluster cannot have only preemptible workers.
  • B. If a preemptible worker is reclaimed, then a replacement worker must be added manually.
  • C. Preemptible workers cannot use persistent disk.
  • D. Preemptible workers cannot store data.

Answer: A,D

Explanation:
The following rules will apply when you use preemptible workers with a Cloud Dataproc cluster:
. Processing only--Since preemptibles can be reclaimed at any time, preemptible workers do not store data. Preemptibles added to a Cloud Dataproc cluster only function as processing nodes. . No preemptible-only clusters--To ensure clusters do not lose all workers, Cloud Dataproc cannot create preemptible-only clusters.
. Persistent disk size--As a default, all preemptible workers are created with the smaller of 100GB or the primary worker boot disk size. This disk space is used for local caching of data and is not available through HDFS.
The managed group automatically re-adds workers lost due to reclamation as capacity permits.
Reference: https://cloud.google.com/dataproc/docs/concepts/preemptible-vms


NEW QUESTION # 99
......

Professional-Data-Engineer Original Questions: https://www.examtorrent.com/Professional-Data-Engineer-valid-vce-dumps.html

BONUS!!! Download part of ExamTorrent Professional-Data-Engineer dumps for free: https://drive.google.com/open?id=1WxFLG9sKu-K0NGSFPnnt7VSMeRIhldgw

Report this page