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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You work for a large fast food restaurant chain with over 400,000 employees. You store employee information in Google BigQuery in a Users table consisting of a FirstName field and a LastName field. A member of IT is building an application and asks you to modify the schema and data in BigQuery so the application can query a FullName field consisting of the value of the FirstName field concatenated with a space, followed by the value of the LastName field for each employee. How can you make that data available while minimizing cost?

A) Create a Google Cloud Dataproc job to process the CSV file and output a new CSV file containing the proper values for FirstName, LastName and FullNam G. Run a BigQuery load job to load the new CSV file into BigQuery.
B) Create a view in BigQuery that concatenates the FirstName and LastName field values to produce the FullName.
C) Use BigQuery to export the data for the table to a CSV fil
D) Add a new column called FullName to the Users tabl
E) Create a Google Cloud Dataflow job that queries BigQuery for the entire Users table, concatenates the FirstName value and LastName value for each user, and loads the proper values for FirstName, LastName, and FullName into a new table in BigQuery.
F) Run an UPDATE statement that updates the FullName column for each user with the concatenation of the FirstName and LastName values.

2. Your company is loading comma-separated values (CSV) files into Google BigQuery. The data is fully imported successfully; however, the imported data is not matching byte-to-byte to the source file. What is the most likely cause of this problem?

A) The CSV data loaded in BigQuery is not flagged as CSV.
B) The CSV data has not gone through an ETL phase before loading into BigQuery.
C) The CSV data loaded in BigQuery is not using BigQuery's default encoding.
D) The CSV data has invalid rows that were skipped on import.

3. You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name Passing Certification Exams Made Easy visit - https://www.2PassEasy.com from the data source and then write to an output PCollection.
Tom,555 X street Tim,553 Y street Sam, 111 Z street
Which operation is best suited for the above data processing requirement?

A) Sink API
B) Source API
C) ParDo
D) Data extraction

4. You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?

A) Install the Cloud Storage connector, and store the data in Cloud Storag
B) Use an SSD persistent disk and 50% preemptible worker
C) Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instance
D) Change references in scripts from hdfs:// to gs://
E) Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances.Store data in HDF
F) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
G) Deploy a Cloud Dataproc cluste
H) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
I) Deploy a Cloud Dataproc cluste
J) Change references in scripts from hdfs:// to gs://
K) Use a standard persistent disk and 50% preemptible worker

5. Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?

A) A timestamp followed by a stock symbol
B) A stock symbol followed by a timestamp
C) A sequential numeric ID
D) A non-sequential numeric ID

Solutions: