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NEW QUESTION 47 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. Clustering to divide the transactions into N categories based on feature similarity.
• B. Unsupervised learning to determine which transactions are most likely to be fraudulent.
• C. Supervised learning to determine which transactions are most likely to be fraudulent.
• D. Supervised learning to predict the location of a transaction.
• E. Unsupervised learning to predict the location of a transaction.
• F. Reinforcement learning to predict the location of a transaction.

Answer: A,B,D Explanation: Fraud is not a feature, so unsupervised, location is given so supervised, Clustering can be done looking at the done with same features.   NEW QUESTION 48 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 .fromQueryoperation to read specific fields from the table.
• B. Use of both the Google BigQuery TableSchemaand TableFieldSchemaclasses.
• C. Call a transform that returns TableRowobjects, where each element in the PCollectionrepresents a single row in the table.
• D. Specify the TableReferenceobject in the code.

Answer: C   NEW QUESTION 49 Government regulations in the banking industry mandate the protection of client's personally identifiable information (PII). Your company requires PII to be access controlled encrypted and compliant with major data protection standards In addition to using Cloud Data Loss Prevention (Cloud DIP) you want to follow Google-recommended practices and use service accounts to control access to PII. What should you do?

• A. Use one service account to access a Cloud SQL database and use separate service accounts for each human user
• B. Use Cloud Storage to comply with major data protection standards. Use one service account shared by all users
• C. Use Cloud Storage to comply with major data protection standards. Use multiple service accounts attached to IAM groups to grant the appropriate access to each group
• D. Assign the required identity and Access Management (IAM) roles to every employee, and create a single service account to access protect resources

Answer: C   NEW QUESTION 50 ...... P.S. Free 2022 Google Professional-Data-Engineer dumps are available on Google Drive shared by DumpsTests: https://drive.google.com/open?id=1vrECflxAnADHqdlH4rtDRGMuYutZ1nD9