Professional-Data-Engineer Mock Exam practice materials can be classified into three versions: the pdf, the software and the app version. So we give emphasis on your goals, and higher quality of our Professional-Data-Engineer Mock Exam practice materials. We have a large number of regular customers exceedingly trust our Google Certified Professional Data Engineer Exam practice materials for their precise content about the exam. We offer the most considerate after-sales services for you 24/7 with the help of patient staff and employees. They are all patient and enthusiastic to offer help on Professional-Data-Engineer Mock Exam study guide. Unlike many other learning materials, our Professional-Data-Engineer Mock Exam study materials are specially designed to help people pass the exam in a more productive and time-saving way, and such an efficient feature makes it a wonderful assistant in personal achievement as people have less spare time nowadays.
Google Cloud Certified Professional-Data-Engineer It is a professional IT exam training site.
Therefore, we sincerely wish you can attempt to our Professional-Data-Engineer - Google Certified Professional Data Engineer Exam Mock Exam test question. Goldmile-Infobiz Google Valid Professional-Data-Engineer Learning Materials exam training materials can help you to pass the exam. Any restrictions start from your own heart, if you want to pass the Google Valid Professional-Data-Engineer Learning Materials examination, you will choose the Goldmile-Infobiz.
They can even broaden amplitude of your horizon in this line. Of course, knowledge will accrue to you from our Professional-Data-Engineer Mock Exam training guide. There is no inextricably problem within our Professional-Data-Engineer Mock Exam learning materials.
Google Professional-Data-Engineer Mock Exam - So you can take a best preparation for the exam.
With the help of the Professional-Data-Engineer Mock Exam practice exam questions and preparation material offered by Goldmile-Infobiz, you can pass any Professional-Data-Engineer Mock Exam certifications exam in the first attempt. You don’t have to face any trouble, and you can simply choose to do a selective Professional-Data-Engineer Mock Exam brain dumps to pass the exam. We offer guaranteed success with Professional-Data-Engineer Mock Exam dumps questions on the first attempt, and you will be able to pass the Professional-Data-Engineer Mock Exam exam in short time. You can always consult our Professional-Data-Engineer Mock Exam certified professional support if you are facing any problems.
Goldmile-Infobiz's training tool has strong pertinence, which can help you save a lot of valuable time and energy to pass IT certification exam. Our exercises and answers and are very close true examination questions.
Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to discover what everyone is doing. What should you do first?
A. Use the Google Cloud Billing API to see what account the warehouse is being billed to.
B. Use Stackdriver Monitoring to see the usage of BigQuery query slots.
C. Get the identity and access management IIAM) policy of each table
D. Use Google Stackdriver Audit Logs to review data access.
Answer: B
QUESTION NO: 4
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: 5
You need to create a near real-time inventory dashboard that reads the main inventory tables in your BigQuery data warehouse. Historical inventory data is stored as inventory balances by item and location. You have several thousand updates to inventory every hour. You want to maximize performance of the dashboard and ensure that the data is accurate. What should you do?
A. Use the BigQuery streaming the stream changes into a daily inventory movement table. Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.
B. Use the BigQuery bulk loader to batch load inventory changes into a daily inventory movement table.
Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.
C. Leverage BigQuery UPDATE statements to update the inventory balances as they are changing.
D. Partition the inventory balance table by item to reduce the amount of data scanned with each inventory update.
Answer: C
Our Google Snowflake GES-C01 exam brain dumps are regularly updated with the help of seasoned professionals. Huawei H13-324_V2.0 - If these training products do not help you pass the exam, we guarantee to refund the full purchase cost. Amazon AIF-C01 - We take the rights of the consumer into consideration. Some of the test data on the site is free, but more importantly is that it provides a realistic simulation exercises that can help you to pass the Google SAP C-BW4H-2505 exam. At the same time, our CIPS L5M1 quiz torrent has summarized some features and rules of the cloze test to help customers successfully pass their exams.
Updated: May 27, 2022