Free Access Google.Professional-Data-Engineer.v2024-12-09.q327 Practice Test (Page 23)

Question 106

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.)

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

B.Supervised learning to predict the location of a transaction.

C.Reinforcement learning to predict the location of a transaction.

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

E.Unsupervised learning to predict the location of a transaction.

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

Question 107

You want to use a database of information about tissue samples to classify future tissue samples as either normal or mutated. You are evaluating an unsupervised anomaly detection method for classifying the tissue samples. Which two characteristic support this method? (Choose two.)

A.There are very few occurrences of mutations relative to normal samples.

B.There are roughly equal occurrences of both normal and mutated samples in the database.

C.You expect future mutations to have different features from the mutated samples in the database.

D.You expect future mutations to have similar features to the mutated samples in the database.

E.You already have labels for which samples are mutated and which are normal in the database.

Question 108

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 dat a. What should you do?

A.Specify customer-supplied encryption key (CSEK) in the .boto configuration file. Use gsutil cp to 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 create to create a symmetric key. Then use gcloud kms encrypt to encrypt each archival file with the key. Use gsutil cp to upload each encrypted file to the Cloud Storage bucket. Manually destroy the key previously used for encryption, and rotate the key once and rotate the key once.

C.Use gcloud kms keys create to create a symmetric key. Then use gcloud kms encrypt to 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.

D.Specify customer-supplied encryption key (CSEK) in the .boto configuration file. Use gsutil cp to upload each archival file to the Cloud Storage bucket. Save the CSEK in Cloud Memorystore as permanent storage of the secret.

Question 109

You are working on a niche product in the image recognition domain. Your team has developed a model that is dominated by custom C++ TensorFlow ops your team has implemented. These ops are used inside your main training loop and are performing bulky matrix multiplications. It currently takes up to several days to train a model. You want to decrease this time significantly and keep the cost low by using an accelerator on Google Cloud. What should you do?

A.Use Cloud TPUs after implementing GPU kernel support for your customs ops.

B.Stay on CPUs, and increase the size of the cluster you're training your model on.

C.Use Cloud GPUs after implementing GPU kernel support for your customs ops.

D.Use Cloud TPUs without any additional adjustment to your code.

Question 110