[DOP-8157] Add SparkS3 troubleshooting guide

[dolfinus]

Change Summary

• Added Troubleshooting guide for SparkS3. Here I've added all useful links I found during this class implementation and debug.
• While working with magic committer, I found that there is a spark-hadoop-cloud library which should be used for Spark on S3. It already includes hadoop-aws, but its versioning is the same as Spark version. In this case we don't need to pass Hadoop libraries version explicitly, because it is already built with the same version the Spark is compiled with. So I replaced hadoop-aws with spark-hadoop-cloud, and updated SparkS3.get_options signature and tests.

Related issue number

Checklist

• Commit message and PR title is comprehensive
• Keep the change as small as possible
• Unit and integration tests for the changes exist
• Tests pass on CI and coverage does not decrease
• Documentation reflects the changes where applicable
• docs/changelog/next_release/<pull request or issue id>.<change type>.rst file added describing change
  (see CONTRIBUTING.rst for details.)
• My PR is ready to review.

[codecov]

Codecov Report

Merging #124 (1e56bbe) into develop (7dd2faa) will increase coverage by 0.02%.
The diff coverage is 100.00%.

@@             Coverage Diff             @@
##           develop     #124      +/-   ##
===========================================
+ Coverage    94.04%   94.07%   +0.02%     
===========================================
  Files          172      172              
  Lines         7491     7495       +4     
  Branches      1442     1442              
===========================================
+ Hits          7045     7051       +6     
+ Misses         325      324       -1     
+ Partials       121      120       -1     

Files Changed	Coverage Δ
...nnection/file_df_connection/spark_s3/connection.py	92.56% <100.00%> (+0.20%)	⬆️

... and 1 file with indirect coverage changes