Google dumpspedia pearson Professional-data-engineer New Attempt by Jonathan q214 vce pdf

Page: 13 / 16

Exam Name:	Google Professional Data Engineer Exam
Exam Code:	Professional-Data-Engineer Dumps
Vendor:	Google	Certification:	Google Cloud Certified
Questions:	374 Q&A's	Shared By:	jonathan

Question 52

Your company has hired a new data scientist who wants to perform complicated analyses across very large datasets stored in Google Cloud Storage and in a Cassandra cluster on Google Compute Engine. The scientist primarily wants to create labelled data sets for machine learning projects, along with some visualization tasks. She reports that her laptop is not powerful enough to perform her tasks and it is slowing her down. You want to help her perform her tasks. What should you do?

Options:

Run a local version of Jupiter on the laptop.

Grant the user access to Google Cloud Shell.

Host a visualization tool on a VM on Google Compute Engine.

Deploy Google Cloud Datalab to a virtual machine (VM) on Google Compute Engine.

Discussion

Question 53

Business owners at your company have given you a database of bank transactions. Each row contains the user ID, transaction type, transaction location, and transaction amount. They ask you to investigate what type of machine learning can be applied to the data. Which three machine learning applications can you use? (Choose three.)

Options:

Supervised learning to determine which transactions are most likely to be fraudulent.

Unsupervised learning to determine which transactions are most likely to be fraudulent.

Clustering to divide the transactions into N categories based on feature similarity.

Supervised learning to predict the location of a transaction.

Reinforcement learning to predict the location of a transaction.

Unsupervised learning to predict the location of a transaction.

Discussion

Question 54

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 data. How can you adjust your application design?

Options:

Re-write the application to load accumulated data every 2 minutes.

Convert the streaming insert code to batch load for individual messages.

Load the original message to Google Cloud SQL, and export the table every hour to BigQuery via streaming inserts.

Estimate the average latency for data availability after streaming inserts, and always run queries after waiting twice as long.

Discussion

Ivan

I tried these dumps for my recent certification exam and I found it pretty helpful.

Elis Sep 17, 2024

Agree!!! The questions in the dumps were quite similar to what came up in the actual exam. It gave me a good idea of the types of questions to expect and helped me revise efficiently.

Alaya

Best Dumps among other dumps providers. I like it so much because of their authenticity.

Kaiden Sep 16, 2024

That's great. I've used other dump providers in the past and they were often outdated or had incorrect information. This time I will try it.

Teddie

yes, I passed my exam with wonderful score, Accurate and valid dumps.

Isla-Rose Aug 18, 2024

Absolutely! The questions in the dumps were almost identical to the ones that appeared in the actual exam. I was able to answer almost all of them correctly.

Nylah

I've been looking for good study material for my upcoming certification exam. Need help.

Dolly Oct 3, 2024

Then you should definitely give Cramkey Dumps a try. They have a huge database of questions and answers, making it easy to study and prepare for the exam. And the best part is, you can be sure the information is accurate and relevant.

Question 55

Your company handles data processing for a number of different clients. Each client prefers to use their own suite of analytics tools, with some allowing direct query access via Google BigQuery. You need to secure the data so that clients cannot see each other’s data. You want to ensure appropriate access to the data. Which three steps should you take? (Choose three.)

Options:

Load data into different partitions.

Load data into a different dataset for each client.

Put each client’s BigQuery dataset into a different table.

Restrict a client’s dataset to approved users.

Only allow a service account to access the datasets.

Use the appropriate identity and access management (IAM) roles for each client’s users.

Discussion

Page: 13 / 16

Title

Questions

Posted