Amazon AWS Certified Big Data -Speciality BDS-C00 Dumps in PDF

Free Amazon BDS-C00 Real Questions (page: 9)

How are Snowball logs stored?

  1. in a JSON file
  2. in a SQLite table
  3. in a plaintext file
  4. in an XML file

Answer(s): C

Explanation:

When you transfer data between your data center and a Snowball, the Snowball client generates a plaintext log and saves it to your workstation.


Reference:

http://docs.aws.amazon.com/snowball/latest/ug/using-client.html



How do you put your data into a Snowball?

  1. Mount your data source onto a workstation in your datacenter and then use this workstation to transfer data to the Snowball.
  2. Connect your data source to the Snowball and then press the “import” button.
  3. Mount your data source onto the Snowball and ship it back together with the appliance.
  4. Connect the Snowball to your datacenter and then copy the data from your data sources to the appliance via FTP.

Answer(s): A

Explanation:

To put your data into a Snowball, you mount your data source onto a workstation in your datacenter and then use this workstation to transfer data to the Snowball.


Reference:

http://docs.aws.amazon.com/snowball/latest/ug/receive-appliance.html



Kinesis Partition keys are unicoded strings with a maximum length of (choose one)

  1. 256 bytes
  2. 128 bytes
  3. 512 bytes
  4. 1024 bytes

Answer(s): A

Explanation:

Kinesis Partition keys are unicoded strings with a maximum length of 256 bytes


Reference:

http://docs.aws.amazon.com/streams/latest/dev/working-with-kinesis.html



Identify a factor that affects the speed of data transfer in AWS Snowball.

  1. Transcoder speed
  2. The speed of the AGP card
  3. Local network speed
  4. The speed of the L3 cache

Answer(s): C

Explanation:

The Snowball client can be used to estimate the time taken to transfer data. Data transfer speed is affected by a number of factors including local network speed, file size, and the speed at which data can be read from local servers.


Reference:

https://aws.amazon.com/importexport/faqs/



How can AWS Snowball handle petabyte-scale data migration?

  1. Data is sent via a shipping container, pulled by a semi-trailer truck.
  2. Data is sent compressed via a high speed network connection.
  3. Data is sent via a physical appliance sent to you by AWS.
  4. Data is sent encoded (forward error correction) via a high speed network connection.

Answer(s): C

Explanation:

Snowball uses secure appliances to transfer large amounts of data into and out of the AWS cloud; this is fast and cheaper than high-speed Internet.


Reference:

https://aws.amazon.com/snowball/



Share your comments for Amazon BDS-C00 exam with other users:

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Christopher
9/5/2022 10:54:00 PM

the new versoin of this exam which i downloaded has all the latest questions from the exam. i only saw 3 new questions in the exam which was not in this dump.

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Sam
9/7/2023 6:51:00 AM

question 8 - can cloudtrail be used for storing jobs? based on aws - aws cloudtrail is used for governance, compliance and investigating api usage across all of our aws accounts. every action that is taken by a user or script is an api call so this is logged to [aws] cloudtrail. something seems incorrect here.

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Tanvi Rajput
8/14/2023 10:55:00 AM

question 13 tda - c01 answer : quick table calculation -> percentage of total , compute using table down

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PMSAGAR
9/19/2023 2:48:00 AM

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zazza
6/16/2023 10:47:00 AM

question 44 answer is user risk

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Prasana
6/23/2023 1:59:00 AM

please post the questions for preparation

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test user
9/24/2023 3:15:00 AM

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7/19/2023 5:34:00 AM

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4/14/2023 5:08:00 PM

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1/15/2024 9:10:00 AM

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10/3/2023 6:57:00 PM

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Georgio
1/19/2024 8:15:00 AM

question 205 answer is b

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5/30/2023 9:37:00 PM

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8/11/2022 12:27:00 AM

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4/25/2022 10:24:00 AM

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soheib
7/24/2023 7:05:00 PM

question: 78 the right answer i think is d not a

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8/14/2023 8:53:00 AM

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10/1/2023 4:11:00 PM

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9/9/2023 7:35:00 AM

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9/20/2023 11:27:00 PM

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Randall
9/28/2023 8:25:00 PM

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9/18/2023 2:40:00 PM

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Beexam
9/4/2023 9:06:00 PM

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7/9/2023 4:54:00 AM

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8/26/2023 1:08:00 PM

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10/15/2023 1:34:00 PM

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11/27/2023 1:36:00 PM

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1/15/2024 8:19:00 PM

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11/7/2023 7:44:00 AM

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