Professional Data Engineer exam

You are building a model to predict whether or not it will rain on a given day. You have thousands of input features and want to see if you can improve training speed by removing some features while having a minimum effect on model accuracy. What can you do?A ....

Your weather app queries a database every 15 minutes to get the current temperature. The frontend is powered by Google App Engine and server millions of users. How should you design the frontend to respond to a database failure?A . Issue a command to restart the database servers.B . Retry...

Your company uses a proprietary system to send inventory data every 6 hours to a data ingestion service in the cloud. Transmitted data includes a payload of several fields and the timestamp of the transmission. If there are any concerns about a transmission, the system re-transmits the data. How should...

You are building a model to make clothing recommendations. You know a user’s fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available. How should you use this data to train the model?A ....

You are deploying 10,000 new Internet of Things devices to collect temperature data in your warehouses globally. You need to process, store and analyze these very large datasets in real time. What should you do?A . Send the data to Google Cloud Datastore and then export to BigQuery.B . Send...

Topic 1, Main Questions Set A Your company built a TensorFlow neutral-network model with a large number of neurons and layers. The model fits well for the training data. However, when tested against new data, it performs poorly. What method can you employ to address this?A . ThreadingB . SerializationC...

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....

What are two of the characteristics of using online prediction rather than batch prediction?A . It is optimized to handle a high volume of data instances in a job and to run more complex models.B . Predictions are returned in the response message.C . Predictions are written to output files...

What are all of the BigQuery operations that Google charges for?A . Storage, queries, and streaming insertsB . Storage, queries, and loading data from a fileC . Storage, queries, and exporting dataD . Queries and streaming insertsView AnswerAnswer: A Explanation: Google charges for storage, queries, and streaming inserts. Loading data...

Your company is in a highly regulated industry. One of your requirements is to ensure individual users have access only to the minimum amount of information required to do their jobs. You want to enforce this requirement with Google BigQuery. Which three approaches can you take? (Choose three.)A . Disable...