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Time is valued especially when we are all caught up with plans and still step with the handy matters. If you suffer from procrastination and cannot make full use of your sporadic time during your learning process, it is an ideal way to choose our ADP training materials. We can guarantee that you are able not only to enjoy the pleasure of study but also obtain your certification successfully, which can be seen as killing two birds with one stone. You will have a full understanding about our ADP guide torrent after you read the following advantages. And you will be surprised to find our superiorities than the other vendors.
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Google Associate Data Practitioner Sample Questions:
1. You need to transfer approximately 300 TB of data from your company's on-premises data center to Cloud Storage. You have 100 Mbps internet bandwidth, and the transfer needs to be completed as quickly as possible. What should you do?
A) Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google.
B) Compress the data, upload it to multiple cloud storage providers, and then transfer the data to CloudStorage.
C) Use the gcloud storage command to transfer the data over the internet.
D) Use Cloud Client Libraries to transfer the data over the internet.
2. Your company stores historical data in Cloud Storage. You need to ensure that all data is saved in a bucket for at least three years. What should you do?
A) Change the bucket storage class to Archive.
B) Set a bucket retention policy.
C) Set temporary object holds.
D) Enable Object Versioning.
3. You are developing a data ingestion pipeline to load small CSV files into BigQuery from Cloud Storage. You want to load these files upon arrival to minimize data latency. You want to accomplish this with minimal cost and maintenance. What should you do?
A) Use the bq command-line tool within a Cloud Shell instance to load the data into BigQuery.
B) Create a Cloud Composer pipeline to load new files from Cloud Storage to BigQuery and schedule it to run every 10 minutes.
C) Create a Dataproc cluster to pull CSV files from Cloud Storage, process them using Spark, and write the results to BigQuery.
D) Create a Cloud Run function to load the data into BigQuery that is triggered when data arrives in Cloud Storage.
4. You work for a home insurance company. You are frequently asked to create and save risk reports with charts for specific areas using a publicly available storm event dataset. You want to be able to quickly create and re- run risk reports when new data becomes available. What should you do?
A) Reference and query the storm event dataset using SQL in a Colab Enterprise notebook. Display the table results and document with Markdown, and use Matplotlib to create charts.
B) Export the storm event dataset as a CSV file. Import the file to Google Sheets, and use cell data in the worksheets to create charts.
C) Copy the storm event dataset into your BigQuery project. Use BigQuery Studio to query and visualize the data in Looker Studio.
D) Reference and query the storm event dataset using SQL in BigQuery Studio. Export the results to Google Sheets, and use cell data in the worksheets to create charts.
5. Your organization needs to store historical customer order dat
a. The data will only be accessed once a month for analysis and must be readily available within a few seconds when it is accessed. You need to choose a storage class that minimizes storage costs while ensuring that the data can be retrieved quickly. What should you do?
A) Store the data in Cloud Storage using Nearline storage.
B) Store the data in Cloud Storage using Archive storage.
C) Store the data in Cloud Storage using Standard storage.
D) Store the data in Cloud Storage using Coldline storage.
Solutions:
Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: A |