Exam Professional Data Engineer topic 1 question 22 discussion

Answer should be D.

Answer: D Description: Datalab provides Jupyter for this kind of work

D is the right answer

Google Cloud Datalab is a powerful interactive tool for data exploration, analysis, and machine learning.

My answer is Google Cloud Datalab, but since that service has already been discontinued, I question whether a problem like this would actually be asked on the actual exam.

D sounds good for me

Hash Value for Deduplication: By computing a hash value for each data entry, you create a unique identifier based on the content of the data. This allows you to efficiently identify duplicates, as entries with identical content will have the same hash value. Storing Hash Value and Metadata: Maintaining a database table that includes the hash value and other relevant metadata (like the timestamp of transmission) allows for quick lookups and comparisons. This way, when new data is received, you can check if an entry with the same hash value already exists. Assign global unique identifiers (GUID) to each data entry: While GUIDs are unique, they do not inherently identify duplicate content. Two transmissions of the same data would have different GUIDs.

D sounds good for me

Agree with D

D. Deploy Google Cloud Datalab to a virtual machine (VM) on Google Compute Engine. Google Cloud Datalab is a powerful interactive tool for data exploration, analysis, and machine learning. By deploying it to a VM on Google Compute Engine, you can provide her with a robust and scalable environment where she can work with large datasets, create labeled datasets, and perform data analyses efficiently. Option A (running a local version of Jupyter on her laptop) might not be sufficient for very large datasets, and her laptop's limited power could still be a bottleneck. Option B (granting access to Google Cloud Shell) is useful for running command-line tools but may not provide the interactive and visual capabilities she needs. Option C (hosting a visualization tool on a VM on Google Compute Engine) is beneficial for visualization tasks but does not cover the full spectrum of data analysis and machine learning tasks that Google Cloud Datalab offers.

D - as it is a FULL set up, not a shell that is needed...

Nowadays it should be similar to D, deploy a Vertex workbench

As per Options , Correct Answer should be D. ie Datalab However Datalab is no longer used in GCP (Deprecated in Sep2022), It is Vertex AI or Deep Learning VM Images

I think. Answer is D

Datalab is deprecated. This question should appear in the exam.

Should be D, because Cloud shell alone does not provide access to what they need. Nowadays is Vertex AI, but still, correct answer is D

Google Cloud Datalab is now Vertex AI. So, letter D make more sense.