Complete the sentences with the correct preposition and form of the verb in parentheses.  Example: Are you worried about paying (pay) back your student loans? Here is some useful advice that can help you be successful (pay)  —–off your loans quickly. You should concentrate (make)  —–your monthly payments, rather than looking at the total amount you owe. The way he deals with money, he should be warned (hurt)  —–his credit score. If you are worried (forget)  —–to make a payment, set up automatic payments from your bank. Remember that you are responsible (let)  —–the lending bank know when you move. Start saving money now if you dream (retire)  —–early.

You have an integer column for a person’s preferred data science role with different numbers representing different roles (e.g., 1=Data scientists, 2=Data Analyst, 3=Data Engineer, and so on). To use such a column as a feature(s) in an MLlib prediction model (say salary prediction), what kind of transformation, if any, is needed?

Which of the following statements is FALSE about the differences between RDD transformations and actions:

Consider the following PySpark scriptline 1: logsDF = spark.read.text(“/loudacre/weblogs/logfile”)line 2: htmllogsDF = logsDF.filter(logsDF.value.contains(“html”))line 3: htmllogsDF.show()line 4: htmllogsDF.count()Which of the following statements is TRUE about the execution of the above script?

Which of the following statements is an advantage of Hive over traditional RDBMS?

Which of the following statements is TRUE about Hive external tables?

In the context of Databricks Commuity Edition, Suppose that you have created a Hive table in the `default` database on DBFS using “CREATE TABLE mytable(column1 INT, column2 INT, …)”. The data currently resides on the driver node’s local file system at “/databricks/driver/mydata/”. Which of the following can load the data into `mytable`?

Which of the following data formats is needed for fitting a classification model using DataFrame-based APIs of Spark MLlib?

Which of the following describes how a Hadoop cluster achieves parallel processing of large amounts of data?

The main purpose of partitioning Hive tables is to: