CCA175 Practice Tests (Includes Spark 2.4 Hadoop Cluster VM)

5 CCA17 Practice Exams | Includes a Test Environment VM| Realistic Exam Format | Hands-on | 48 Fully Solved Questions

What you’ll learn

Students will get hands-on experience working in a Spark Hadoop environment as they practice.
Converting a set of data values in a given format stored in HDFS into new data values or a new data format and writing them into HDFS.
Loading data from HDFS for use in Spark applications & writing the results back into HDFS using Spark.
Reading and writing files in a variety of file formats.
Performing standard extract, transform, load (ETL) processes on data using the Spark API.
Using metastore tables as an input source or an output sink for Spark applications.
Applying the understanding of the fundamentals of querying datasets in Spark.
Filtering data using Spark.
Writing queries that calculate aggregate statistics.
Joining disparate datasets using Spark.
Producing ranked or sorted data.

A pc or laptop with a minimum of 8 GB RAM and 20 GB of free space.
Students should have a basic knowledge of SQL queries or be willing to learn in order to pass the certification exams.

These practice tests are ideally suited for students looking to pass the CCA175 certification exam or anyone who simply wants to apply their SQL skills in a big data environment using Spark-SQL.
Anyone keen to get certified & land a job with a company that’s looking to fill a big data-related position, or already have such a role but want to confirm their experience by gaining a Cloudera certification, then these practice test will help them prepare & clear the CCA175 exam.