tweaks for acrolinx, redirect file

Author: Larry Franks

.openpublishing.redirection.json

@@ -165,6 +165,11 @@
       "redirect_url": "/azure/machine-learning/service/how-to-deploy-fpga-web-service",
       "redirect_document_id": false
     },
+    {
+      "source_path": "articles/machine-learning/service/how-to-debug-batch-predictions.md",
+      "redirect_url": "/azure/machine-learning/service/how-to-debug-parallel-run-step",
+      "redirect_document_id": false
+    },
     {
       "source_path": "articles/machine-learning/service/quickstart-run-local-notebook.md",
       "redirect_url": "/azure/machine-learning/service/how-to-configure-environment#local",

articles/machine-learning/how-to-debug-parallel-run-step.md

@@ -9,7 +9,7 @@ ms.topic: conceptual
 ms.reviewer: trbye, jmartens, larryfr, vaidyas
 ms.author: trmccorm
 author: tmccrmck
-ms.date: 11/21/2019
+ms.date: 01/15/2020
 ---
 
 # Debug and troubleshoot ParallelRunStep
@@ -42,10 +42,10 @@ When you need a full understanding of how each node executed the score script, l
 - `~/logs/sys/worker/<ip_address>/Process-*.txt`: This file provides detailed info about each mini-batch as it is picked up or completed by a worker. For each mini-batch, this file includes:
 
     - The IP address and the PID of the worker process. 
-    - The total number of items, successfully processed items count and failed item count.
+    - The total number of items, successfully processed items count, and failed item count.
     - The start time, duration, process time and run method time.
 
-You can also find information on the resource usage of the processes for each worker. This information is in CSV format and is located at `~/logs/sys/perf/<ip_address>/`. For single node job files will be available under `~logs/sys/perf`. For example, when checking for resource utilization, look at the following files:
+You can also find information on the resource usage of the processes for each worker. This information is in CSV format and is located at `~/logs/sys/perf/<ip_address>/`. For a single node, job files will be available under `~logs/sys/perf`. For example, when checking for resource utilization, look at the following files:
 
 - `Process-*.csv`: Per worker process resource usage. 
 - `sys.csv`: Per node log.

articles/machine-learning/how-to-use-parallel-run-step.md

@@ -10,7 +10,7 @@ ms.topic: tutorial
 ms.reviewer: trbye, jmartens, larryfr, vaidyas
 ms.author: vaidyas
 author: vaidya-s
-ms.date: 11/04/2019
+ms.date: 01/15/2020
 ms.custom: Ignite2019
 ---
 

articles/machine-learning/toc.yml

@@ -341,7 +341,7 @@
     - name: 'Designer: Retrain using published pipelines'
       displayName: retrain, designer, published pipeline
       href: how-to-retrain-designer.md
-    - name: Use parallal run step
+    - name: Use parallel run step
       displayName: score scoring batch consume pipeline parallelrunstep inference
       href: how-to-use-paralle-run-step.md
     - name: Debug & troubleshoot parallel run step