Professional-Data-Engineer덤프샘플다운 - Professional-Data-Engineer시험준비자료

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Google Professional-Data-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified Professional Data Engineer
Exam Number:	Professional-Data-Engineer
Passing Score:	Not officially published (estimated ~80%)
Available Languages:	Japanese, English
Exam Price:	$200 USD
Related Certifications:	Google Cloud Certified Professional Data Engineer
Real Exam Qty:	50-60
Exam Duration:	120 minutes
Certificate Validity Period:	2 years
Exam Format:	Multiple-choice, Multiple-select
Sample Questions:	Google Professional-Data-Engineer Sample Questions
Exam Way:	Online (remote proctored) or at a testing center (Kryterion)
Pre Condition:	No mandatory prerequisites. Recommended: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:	https://cloud.google.com/learn/certification/data-engineer

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Professional-Data-Engineer시험준비자료 - Professional-Data-Engineer최신 인증시험

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최신 Google Cloud Certified Professional-Data-Engineer 무료샘플문제 (Q417-Q422):

질문 # 417
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 schem
a. Which Google Cloud Platform product should you use?

A. BigQuery
B. Cloud SQL
C. Cloud Bigtable
D. Cloud Datastore

정답：A

질문 # 418
You want to archive data in Cloud Storage. Because some data is very sensitive, you want to use the "Trust No One" (TNO) approach to encrypt your data to prevent the cloud provider staff from decrypting your data. What should you do?

A. Specify customer-supplied encryption key (CSEK) in the .botoconfiguration file. Use gsutil cpto upload each archival file to the Cloud Storage bucket. Save the CSEK in a different project that only the security team can access.
B. Use gcloud kms keys createto create a symmetric key. Then use gcloud kms encryptto encrypt each archival file with the key and unique additional authenticated data (AAD). Use gsutil cp to upload each encrypted file to the Cloud Storage bucket, and keep the AAD outside of Google Cloud.
C. Specify customer-supplied encryption key (CSEK) in the .botoconfiguration file. Use gsutil cpto upload each archival file to the Cloud Storage bucket. Save the CSEK in Cloud Memorystore as permanent storage of the secret.
D. Use gcloud kms keys create to create a symmetric key. Then use gcloud kms encryptto encrypt each archival file with the key. Use gsutil cpto upload each encrypted file to the Cloud Storage bucket.
Manually destroy the key previously used for encryption, and rotate the key once.

정답：D

설명：
Explanation/Reference:

질문 # 419
Which of the following statements about the Wide & Deep Learning model are true? (Select 2 answers.)

A. The wide model is used for generalization, while the deep model is used for memorization.
B. A good use for the wide and deep model is a small-scale linear regression problem.
C. The wide model is used for memorization, while the deep model is used for generalization.
D. A good use for the wide and deep model is a recommender system.

정답：C,D

설명：
Explanation
Can we teach computers to learn like humans do, by combining the power of memorization and generalization? It's not an easy question to answer, but by jointly training a wide linear model (for memorization) alongside a deep neural network (for generalization), one can combine the strengths of both to bring us one step closer. At Google, we call it Wide & Deep Learning. It's useful for generic large-scale regression and classification problems with sparse inputs (categorical features with a large number of possible feature values), such as recommender systems, search, and ranking problems.
Reference: https://research.googleblog.com/2016/06/wide-deep-learning-better-together-with.html

질문 # 420
Government regulations in your industry mandate that you have to maintain an auditable record of access to certain types of dat A.
Assuming that all expiring logs will be archived correctly, where should you store data that is subject to that mandate?

A. In a bucket on Cloud Storage that is accessible only by an AppEngine service that collects user information and logs the access before providing a link to the bucket.
B. In a BigQuery dataset that is viewable only by authorized personnel, with the Data Access log used to provide the auditability.
C. In Cloud SQL, with separate database user names to each user. The Cloud SQL Admin activity logs will be used to provide the auditability.
D. Encrypted on Cloud Storage with user-supplied encryption keys. A separate decryption key will be given to each authorized user.

정답：B

질문 # 421
Your company is performing data preprocessing for a learning algorithm in Google Cloud Dataflow.
Numerous data logs are being are being generated during this step, and the team wants to analyze them.
Due to the dynamic nature of the campaign, the data is growing exponentially every hour. The data scientists have written the following code to read the data for a new key features in the logs.
BigQueryIO.Read
.named("ReadLogData")
.from("clouddataflow-readonly:samples.log_data")
You want to improve the performance of this data read. What should you do?

A. Use of both the Google BigQuery TableSchema and TableFieldSchema classes.
B. Call a transform that returns TableRow objects, where each element in the PCollexction represents a single row in the table.
C. Specify the TableReference object in the code.
D. Use .fromQuery operation to read specific fields from the table.

정답：B

질문 # 422
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