You will love our Professional-Data-Engineer Tools exam questions as long as you have a try! Mercenary men lust for wealth, our company offer high quality Professional-Data-Engineer Tools practice engine rather than focusing on mercenary motives. They are high quality and high effective Professional-Data-Engineer Tools training materials and our efficiency is expressed clearly in many aspects for your reference. We often regard learning for Professional-Data-Engineer Tools exam as a torture. Actually, learning also can become a pleasant process. We understand your drive of the certificate, so you have a focus already and that is a good start.

Google Cloud Certified Professional-Data-Engineer Action always speaks louder than words.

If you are satisfied with our Professional-Data-Engineer - Google Certified Professional Data Engineer Exam Tools training guide, come to choose and purchase. Now, you are fortunate enough to come across our Study Professional-Data-Engineer Plan exam guide. We have free demos on the website for our customers to download if you still doubt our products, and you can check whether it is the right one for you before purchase as well.

All experts and professors of our company have been trying their best to persist in innovate and developing the Professional-Data-Engineer Tools test training materials all the time in order to provide the best products for all people and keep competitive in the global market. We believe that the study materials will keep the top selling products. We sincerely hope that you can pay more attention to our Professional-Data-Engineer Tools study questions.

Google Professional-Data-Engineer Tools - Just make your own decisions.

According to personal propensity and various understanding level of exam candidates, we have three versions of Professional-Data-Engineer Tools study guide for your reference. They are the versions of the PDF, Software and APP online. If you visit our website on our Professional-Data-Engineer Tools exam braindumps, then you may find that there are the respective features and detailed disparities of our Professional-Data-Engineer Tools simulating questions. And you can free donwload the demos to have a look.

With the rapid development of society, people pay more and more attention to knowledge and skills. So every year a large number of people take Professional-Data-Engineer Tools tests to prove their abilities.

Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
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. Preemptible workers cannot store data.
C. Preemptible workers cannot use persistent disk.
D. If a preemptible worker is reclaimed, then a replacement worker must be added manually.
Answer: A,B
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

QUESTION NO: 2
You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?
A. Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery
B. Store the data in a file in a regional Google Cloud Storage bucket. Use Cloud Dataflow to query
BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.
C. Store the data in Google Cloud Datastore. Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore
D. Load the data every 30 minutes into a new partitioned table in BigQuery.
Answer: D

QUESTION NO: 3
You have a query that filters a BigQuery table using a WHERE clause on timestamp and ID columns. By using bq query - -dry_run you learn that the query triggers a full scan of the table, even though the filter on timestamp and ID select a tiny fraction of the overall data. You want to reduce the amount of data scanned by BigQuery with minimal changes to existing SQL queries. What should you do?
A. Recreate the table with a partitioning column and clustering column.
B. Create a separate table for each I
C. Use the LIMIT keyword to reduce the number of rows returned.
D. Use the bq query - -maximum_bytes_billed flag to restrict the number of bytes billed.
Answer: C

QUESTION NO: 4
You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
* The user profile: What the user likes and doesn't like to eat
* The user account information: Name, address, preferred meal times
* The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schema. Which Google Cloud Platform product should you use?
A. BigQuery
B. Cloud Datastore
C. Cloud SQL
D. Cloud Bigtable
Answer: A

QUESTION NO: 5
You have Cloud Functions written in Node.js that pull messages from Cloud Pub/Sub and send the data to BigQuery. You observe that the message processing rate on the Pub/Sub topic is orders of magnitude higher than anticipated, but there is no error logged in Stackdriver Log Viewer. What are the two most likely causes of this problem? Choose 2 answers.
A. Publisher throughput quota is too small.
B. The subscriber code cannot keep up with the messages.
C. The subscriber code does not acknowledge the messages that it pulls.
D. Error handling in the subscriber code is not handling run-time errors properly.
E. Total outstanding messages exceed the 10-MB maximum.
Answer: B,D

IBM C1000-195 - Holding a professional certificate means you have paid more time and effort than your colleagues or messmates in your major, and have experienced more tests before succeed. Google Associate-Cloud-Engineer - Although everyone hopes to pass the exam, the difficulties in preparing for it should not be overlooked. We want to finish long term objectives through customer satisfaction and we have achieved it already by our excellent Microsoft GH-900 exam questions. Obtaining the Amazon AIF-C01-KR certification is not an easy task. Nutanix NCP-US - Google Certified Professional Data Engineer Exam study questions provide free trial service for consumers.

Updated: May 27, 2022