review mle questions

eavelardev · Nov 24, 2022 · 5d2f3ac · 5d2f3ac
1 parent abec8d1
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diff --git a/job_prep/td_dev_certi_handbook.ipynb → job_prep/tf_dev_certi_handbook.ipynb b/job_prep/td_dev_certi_handbook.ipynb → job_prep/tf_dev_certi_handbook.ipynb
diff --git a/mle_certificate/certification_exam_guide.ipynb b/mle_certificate/certification_exam_guide.ipynb
diff --git a/mle_certificate/mle_exam.ipynb b/mle_certificate/mle_exam.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -23,17 +23,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Number of total questions: 235\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(f'Number of total questions: {len(questions)}')\n",
     "questions = random.sample(questions, len(questions))\n",
@@ -45,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -74,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -95,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -125,59 +117,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Your company runs a big retail website. You develop many ML models for all the business activities.\n",
-      "You migrated to Google Cloud. Your models are developed with PyTorch, TensorFlow and BigQueryML.\n",
-      "You are now working on an international project with other partners.\n",
-      "You need to let them use your Vertex AI dataset in Cloud Storage for a different organization.\n",
-      "What can you do?\n",
-      "\n",
-      "* Exporting metadata and annotations in a CSV file\n",
-      "\n",
-      "* Copy the data in a removable storage\n",
-      "\n",
-      "* Give access (Service account or signed URL) to the Cloud Storage file\n",
-      "\n",
-      "* Let them use your GCP Account\n",
-      "\n",
-      "* Exporting metadata and annotations in a JSONL file\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "i, c = get_question(i)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "* Exporting metadata and annotations in a JSONL file\n",
-      "\n",
-      "* Give access (Service account or signed URL) to the Cloud Storage file\n",
-      "\n",
-      "You can export a Dataset; when you do that, no additional copies of data are generated. The result is only JSONL files with all the useful information, including the Cloud Storage files URIs.\n",
-      "But you have to grant access to these  Cloud Storage files with a Service account or a signed URL, if to be used outside GCP.\n",
-      "* Let them use your GCP Account, Copy the data in a removable storage are wrong mainly for security reasons.\n",
-      "* Annotations are written in JSON files.\n",
-      "\n",
-      "* https://cloud.google.com/vertex-ai/docs/datasets/export-metadata-annotations\n",
-      "* https://cloud.google.com/vertex-ai/docs/datasets/datasets\n",
-      "* https://codelabs.developers.google.com/codelabs/vertex-ai-custom-code-training\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "c = get_answers(i, c)"
    ]